Visual Processing and Decision Support System for Ballistic Injuries in Veterinary Clinics

Abstract

The invention relates to an AI-based visual processing and decision support system for ballistic injuries in veterinary clinics. It utilizes image processing, radiological analysis, and ballistic ordnance detection to provide veterinarians with rapid diagnosis and treatment recommendations, facilitate emergency intervention, surgical planning, and long-term patient follow-up. It can also be used in forensic veterinary medicine to contribute to the analysis of potential crime cases. The system is particularly suitable for veterinary clinics, military and police animal hospitals, and wildlife rehabilitation centers.

Description

1 TARIFF Visual Processing and Decision Support for Ballistic Injuries in Veterinary Clinics The system TECHNICAL FIELD The invention provides artificial intelligence that supports decision-making regarding ballistic injuries for clinical veterinarians. intelligence-based, performing image processing, radiological analysis and ballistic ordnance detection. It provides veterinarians with rapid diagnosis and treatment recommendations, emergency intervention, surgical planning and 10 It enables long-term patient monitoring and is also used in the field of forensic veterinary medicine. contributing to the analysis of possible crime cases, especially veterinary clinics, military and police. veterinary equipment that can be used in animal hospitals and wildlife rehabilitation centers. Their clinics are concerned with visual processing and decision support systems for ballistic injuries. PREVIOUS TECHNIQUE Today, there is a comprehensive decision support system for veterinary ballistic injuries. It is not available. However, there are companies that produce some components of the system and similar technologies. These are: 20 Companies that manufacture veterinary imaging systems include IDEXX Laboratories (USA) and Heska. Examples include Corporation (USA), Esaote, and Mindray. Veterinary artificial intelligence and decision support. SignalPET (USA), which performs AI-assisted veterinary radiology analysis as part of its systems, Vetology AL (USA) is an automated veterinary radiology reporting service. It also provides forensic services. Ultra Electronics 25, which manufactures ballistic trace analysis systems in ballistic and criminal analysis systems. Forensic Technology - Ultra Electronic Forensic Technology (Canada) and microscopic analysis. Leica Microsystems (Germany) produces these systems. These systems are used in veterinary medicine. While not directly focused on ballistic injury analysis for physicians, it does provide related fields. It offers technologies. Currently, in the field of veterinary medicine, artificial intelligence and image processing The use of these technologies is increasing, especially in diagnostic and treatment processes. Technologies provide significant support to physicians. However, the diagnosis and treatment of ballistic injuries remain challenging. Specific decision support systems for treatment are limited in the literature. Currently... Systems like Vetscanlmagyst, developed by ZoetisDiagnostics, which uses artificial intelligence, are among the findings. Supported analyses provide accurate and expert-level results. Such systems, In clinics, it saves time for physicians and speeds up diagnostic processes. Image 35 Thanks to processing algorithms, veterinarians can analyze shared images in detail. being able to analyze, identify disease symptoms and treatment options 2 These applications can offer suggestions. These practices optimize the early diagnosis and treatment processes of diseases. This contributes to the development of ballistics in veterinary medicine. A literature review revealed that ballistics in veterinary medicine... No specific patent applications related to the diagnosis and treatment of injuries have been found. However, there is a general overview of the use of artificial intelligence and image processing technologies in veterinary medicine. There are patents and academic studies. For example; "Image processing and artificial intelligence 5". The book titled "Current Approaches in Applications" discusses current methods in this field and It addresses applications related to the diagnosis and treatment of ballistic injuries. Decision support systems specifically designed for veterinarians are limited in the literature and current practices. It remains. Artificial intelligence and image processing-based decision support in veterinary medicine. Although these systems have begun to be used in some areas, the diagnosis and treatment of ballistic injuries are 10 There is no specific system available for its treatment. There are fundamental technical problems in current practices in this field. Ballistic injuries. One of these is the lack of a dedicated decision support system. Existing AI-powered systems... These systems are for general diagnostic and testing purposes. However, the diagnosis and management of ballistic injuries are also relevant. It requires a multidisciplinary approach. In the analysis of ballistic traumas, external ballistics and terminal Factors such as ballistics and wound ballistics must be considered. Existing systems, ammunition... type, entry / exit wounds, fragmentation effects, and secondary injuries It is not focused on. The lack of ballistic wound analysis using image processing is another shortcoming. Current image processing systems used in veterinary clinics generally rely on general X-ray and 20... It focuses on MRI evaluation. Specialized image processing for ballistic wounds. There is no algorithm for this. For example, characterization of entry and exit wounds, ammunition. Critical elements such as estimating tissue damage depending on the type of damage cannot be processed in current systems. Another problem is the lack of a holistic assessment of radiological and clinical findings. Ballistics X-rays, MRIs, and other radiological tests play a critical role in diagnosing injuries. However, 25 Current systems do not integrate the analysis of these tests into decision support processes. For example, foreign bodies containing lead can cause secondary bone fractures and internal organ damage. There is no existing system developed for detecting findings specific to ballistic injuries. However, automated planning of treatment processes is not currently being carried out. While these systems can offer diagnostic support, they do not provide specific treatment recommendations. 30 Surgical procedures, drug treatment, and infection control measures are necessary for ballistic wounds. Control and long-term maintenance planning are automated in existing systems. It is not determined. The inability to detect ballistic munitions and possible disinformation. That's a separate problem. Current veterinary decision support systems deal with the type of ammunition that caused the wound. It does not have the ability to analyze the type. For example, ammunition containing the course (Pb) with 35 There is a risk of poisoning in cases of injury. However, these types of specific analyses... There is no system that can do this. From a forensic veterinary perspective, the type of weapon and ammunition... 3 Information such as diameter and inlet / outlet direction is vital, but in current systems this type of information is not available. No analyses are being conducted. There is a lack of a rapid reporting system to support emergency response. Also available. Current artificial intelligence systems for veterinarians are generally detailed. However, it involves time-consuming analyses. Rapid decision-making is crucial in ballistic injuries. The system should have an automated and emergency-focused reporting capability as needed. The current 5 These systems lack such a rapid and specialized reporting mechanism. Given the technical shortcomings, rapid and accurate diagnosis of ballistic injuries a specialized team that will provide, guide treatment processes and conduct ammunition analysis A decision support system is needed. Existing solutions are focused on general medical diagnosis, not ballistics. It does not offer specific solutions for the multidisciplinary management of injuries. 10 As a result of research conducted in the literature, the application numbered “2020 / 11383” and “Image Processing and using Artificial Intelligence to analyze animal behavior, diseases, safety, and Turkish patent titled "Remote or Direct Detection and Monitoring of Nutrition" The application was encountered. The application in question concerns being held in a free or restricted area or 15 Monitoring and tracking the behavior, diseases, and safety of tethered animals. It is related to image processing and artificial intelligence methods used in this. However, the aforementioned application providing decision support for ballistic injuries for clinical veterinarians, AI-based, image processing, radiological analysis, and ballistic ordnance detection. by providing veterinarians with rapid diagnosis and treatment recommendations, emergency intervention, and surgical 20 It enables planning and long-term patient follow-up, also in the field of forensic veterinary medicine. Used to contribute to the analysis of possible criminal cases, especially in veterinary clinics and military facilities. and can be used in police animal hospitals and wildlife rehabilitation centers Regarding visual processing and decision support systems for ballistic injuries in veterinary clinics. No evidence was found. 25 Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. visual processing for ballistic injuries in veterinary clinics to bring advantages and It is related to decision support systems. The main purpose of the invention is to provide decision support for ballistic injuries for clinical veterinarians. 35 providing veterinary services by performing image processing, radiological analysis, and ballistic ordnance detection. 4 to provide physicians with rapid diagnosis and treatment recommendations, surgical planning and long-term patient care. The aim is to ensure that it is monitored. All the purposes mentioned above and those that will emerge from the detailed explanation below. The present invention aims to provide clinical veterinarians with 5 solutions for ballistic injuries. AI-based systems that provide decision support for image processing, radiological analysis, and Providing veterinarians with rapid diagnosis via electronic devices by detecting ballistic ordnance. and providing treatment recommendations, emergency intervention, surgical planning and long-term patient follow-up This enables the analysis of potential criminal cases, and is also used in the field of forensic veterinary medicine. contributors, especially veterinary clinics, military and police animal hospitals, and wildlife 10 ballistic injuries in veterinary clinics where life rehabilitation centers can be used It is a visual processing and decision support system, and its features include:  Equipped with a camera system, it performs a visual analysis of the wound and... a device that determines the level of tissue damage using a thermal camera located inside Deep learning through the image processing and artificial intelligence engine that is run 15 image processing based on data processing, detecting entry and exit points of a wound, color, By performing shape and texture analysis, the researchers determine the relationship between the wound and the ballistic ammunition. image processing module,  Artificial intelligence that works in conjunction with X-ray, MRI, and CT scanners to analyze the wound in detail. Bone fractures and foreign bodies detected by intelligence-assisted analysis algorithms, 20 organ damage, secondary trauma effects, and radiological interpretation of the damage. display module,  foreign objects in radiological images received from the radiological imaging module a ballistics database that analyzes objects and identifies the type of metal in the ammunition ballistic ammunition 25 that determines the type of ammunition used by comparing it with identification system,  Risk of toxic or infectious substances depending on the severity of ballistic injury The wound disinformation analysis unit that conducted the evaluation,  image processing module, radiological imaging module, ballistic ammunition The identification system communicates with the wound information analysis unit, surgical 30 intervention, drug treatment, infection control and long-term follow-up processes recommended, specific treatment protocols based on the toxic effects of the identified ammunition. AI-powered decision-making mechanism,  According to AI-powered decision-making mechanism analysis, the doctor uses an electronic device electronic patient record 35 that provides real-time diagnosis and treatment recommendations. working in conjunction with systems that automatically process patient data, depending on the type of wound and creates an automated treatment plan based on the patient's overall health condition, whether surgery is necessary, which antibiotics or analgesics A patient tracking and reporting module that reports details such as how it will be used. It includes. The advantages of the current invention, along with its structure and additional elements, can be best utilized in 5 For it to be understood, it must be considered together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 shows the visual processing of ballistic injuries in veterinary clinics, which is the subject of the invention, and 10 It is a representative illustration of a decision support system. Figure 2 is a representative illustration of the server and display used in the invention. Figure 3 shows a representation of the visual processing and decision support system in a configuration of the invention. It is a representation. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a large extent... Elements that are identical or at least have substantially identical functions are numbered the same. It is shown. REFERENCE NUMBERS 1. Image processing module 2. Radiological imaging module 3. Ballistic ammunition identification system 25 4. AI-powered decision-making mechanism 5. Wound disinformation analysis unit 6. Patient tracking and reporting module 7. Audible and visual warning system SK. Server booth KE. Control screen KS. Arm system K. Camera MM. Examination table 35 DETAILED DESCRIPTION OF THE INVENTION 6 This detailed description explains the treatment of ballistic injuries in veterinary clinics, which is the subject of this invention. Visual processing and decision support systems are not only aimed at improving the understanding of the subject; they also offer more than just that. This is explained with examples that will not create a limiting effect. Visual processing and decision support system for ballistic injuries in veterinary clinics, image processing module (1), radiological imaging module (2), ballistic ammunition identification system (3), artificial intelligence-supported decision mechanism (4), wound disinformation analysis unit (5) includes patient tracking and reporting module (6), audio and visual warning system (7). The image processing module (1) performs visual analysis of the wound with the camera system on it. a device that uses a thermal camera to determine the level of tissue damage, deep learning (CNN) based on image processing and artificial intelligence engine image processing, identifying the entry and exit points of a wound, color, shape and texture It is the unit that determines the relationship between the wound and the ballistic ammunition by performing radiological analysis. Imaging module (2), compatible with x-ray, MR, CT (Computed Tomography) devices 15 by working and analyzing the wound in detail, detected by artificial intelligence-powered analysis algorithms Bone fractures, foreign bodies, organ damage, secondary trauma effects and injury. It is the interpreting unit. The ballistic munitions identification system (3) interprets radiological images. Analyzing foreign objects and determining the type of metal in the ammunition (lead, steel, copper, etc.) 20 that identifies the type of ammunition used by comparing it with a ballistic database. It is a unit. Artificial intelligence-supported decision mechanism (4), surgical intervention, drug treatment, recommending infection control and long-term follow-up processes, and assessing the toxicity of the detected ammunition. Depending on the effects (for example, if lead-containing ammunition carries a risk of poisoning), specific treatment is required. It is the unit that creates the protocols. Wound disinformation analysis unit (5), ballistic injury This unit assesses the risk of toxicity or infection depending on the severity. Patient 25 The monitoring and reporting module (6) provides the physician with real-time diagnosis via electronic device. It provides treatment recommendations and works in conjunction with electronic patient record systems to collect patient data. an automated treatment that adapts to the type of wound and the patient's overall health condition. the plan being formulated, whether surgical intervention is necessary, which antibiotics or analgesics It is the unit that reports the details as to how it will be used. Audible and visual warning system (7), emergency 30 In these situations, it is the unit that provides the physician with audio and / or visual warnings via electronic device. Visual processing and decision support system for ballistic injuries in veterinary clinics, Veterinary medicine, ballistics sciences, image processing, and AI-powered decision support systems. It is located in the field of veterinary traumatology, forensic veterinary medicine, and ballistics. injuries and digital systems that support the diagnosis and treatment processes of these injuries The invention is related to image processing, radiological analysis, and artificial intelligence-assisted diagnosis and treatment. 7 by bringing together disciplines such as planning, the diagnosis and treatment of ballistic injuries It offers a system that provides support to veterinarians. This invention is used in emergency departments for ballistics. AI-powered decision-making for rapid response to injuries and treatment planning. They are used in veterinary clinics and hospitals during the treatment of ballistic injuries. Determining the type and cause of animal abuse or illegal use of weapons 5 It is used in forensic veterinary medicine and criminal investigations to gather evidence in cases. Working animals (military dogs, police dogs, etc.) that are exposed to ballistic trauma. rapid treatment improves the health of animals injured in war and conflict zones. It can be used in military and police veterinary services for ballistic assessment. 10 academic and clinical studies on injuries and artificial intelligence and image processing Universities and research centers meet to test newly developed technologies. It is used for the assessment and reporting of armed attacks against animals. insurance and technical support are also provided for the detection of animal rights violations. It can be used by animal rights organizations. Our invention is for veterinarians. a specialized decision support system that accelerates the diagnosis and treatment of ballistic injuries in clinics 15 This distinguishes it from the existing systems described in the previous technique. Visual processing and decision support systems for ballistic injuries in veterinary clinics, ballistic AI-powered decision-making developed for veterinary patients who have suffered injuries. It is a support system that addresses the shortcomings seen in existing techniques and many important 20 It offers an advantage. Current veterinary artificial intelligence systems are for general diagnostic purposes, and It does not focus on a multidisciplinary analysis of ballistic injuries. The system focuses on ballistics. It is the first veterinary decision support system specifically designed for injuries. External ballistics, Using terminal ballistics and wound ballistics information to provide the physician with customized diagnosis and treatment. It presents suggestions. Furthermore, the invention performs ballistic wound analysis using image processing. The current veterinary 25 Image processing systems do not have specialized algorithms to analyze ballistic wounds. The system analyzes entry and exit wounds, determines tissue damage, and identifies the type of ammunition. It predicts the future. By shortening the visual analysis time, it helps the physician make quick decisions. AI-powered wound classification helps determine the level of ballistic damage. Yes. The invention performs automatic analysis from radiological images. Current systems use X-rays or 30... We analyze MRI images for general purposes, and provide radiological analyses specific to ballistic traumas. It cannot distinguish between findings. The invention analyzes X-ray and MRI images to detect bone fractures, ballistic-related findings such as foreign bodies (bullets, metal fragments), and internal organ damage. It determines the spread of ballistic ammunition into soft tissue, the risk of secondary injury, and It guides the physician regarding the effects of fragmentation. AI-assisted imaging 35 Interpretation reduces the physician's workload and minimizes the margin of error. The invention promotes integrated treatment. It guides the physician with protocols. Current AI-powered systems detect ballistic wounds. 8 It does not create a specific treatment plan. The invention addresses surgical interventions, drug therapy, and long-term treatment. It creates an automated treatment protocol that includes processes such as follow-up plans. The type of wound, the best treatment methods recommended according to the effect of the ammunition and the patient's general condition lists the most appropriate treatment plan, regardless of the experience level of the veterinarian. By presenting, it improves the clinical decision-making process. The invention also enables ammunition analysis and 5 It detects disinformation. Current systems cannot analyze the type of ballistic ammunition and It cannot assess the presence of toxic substances such as lead. The invention, however, detects metal found in the wound. By analyzing the objects, we can determine the type of ammunition and detect the presence of toxic metals. This alerts the veterinarian and provides specific treatment recommendations. The type of weapon and the nature of the injury... It provides valuable information from a forensic veterinary perspective regarding the mechanism. The invention enables rapid reporting within 10 years. It supports emergency response. Existing systems provide rapid and specialized reporting for emergencies. It does not. The invention provides physicians with instant analysis results and treatment recommendations in emergency departments. By providing this, it saves time. Unlike standard veterinary diagnostic systems, ballistic It generates quick reports specific to injuries and accelerates the intervention process. With the invention database. It is a learning and evolving system. The system learns from previous cases to diagnose and treat. 15 It continuously improves its processes. Data on new types of ballistic ammunition and types of injuries. It updates itself by collecting information. Scientific evidence for injured animals from a forensic veterinary perspective. It can be used as a system that can create. The invention is for the detection of ballistic injuries, automating ammunition analyses, radiological evaluations, and treatment processes It is an integrated system, far more comprehensive than existing veterinary diagnostic and treatment systems. and offers a customized solution. Thanks to these advantages, our system is used in veterinary clinics, A revolutionary innovation in forensic veterinary medicine, military and police veterinary services. It offers. The invention supports a decision 25 that assists clinical veterinarians in responding to ballistic injuries. It is a support system for AI-based image processing, radiological analysis, and ballistic ammunition. an integrated software that includes critical elements such as detection and automated treatment planning, and It is a hardware system. The invention consists of hardware and software components: Hardware Components:  Image processing sensors: High-resolution camera system provides visual 30° of image processing for the wound. analyzes and determines the level of tissue damage with the support of a thermal camera. It is a unit.  Radiological imaging module (2): X-ray, MRI, CT (Computed Tomography) AI-powered analysis that works in conjunction with devices to perform a detailed wound analysis. It is the unit that interprets foreign objects and damage detected by algorithms. 35 9  Portable smart device integration: With an interface compatible with tablets and smartphones. It provides easy access for physicians. Clinical data via wireless connection (Wi-Fi / Bluetooth). They can be integrated into their bases. Software Components: 5  Image processing and artificial intelligence engine: Deep learning (CNN) based image processing It has algorithms that detect the entry and exit points of the wound, and use color, shape, and It is the unit that determines the relationship between a wound and ballistic ammunition by performing tissue analysis.  Ballistic munitions identification system (3): Foreign bodies in radiological images ballistics 10 analyzes and identifies the type of metal in the ammunition (lead, steel, copper, etc.). This unit determines the type of ammunition used by comparing it with the database.  AI-powered decision support system: Surgical intervention, drug treatment, infection recommending control and long-term follow-up processes for the detected ammunition, which is toxic. depending on the effects (for example, if lead-containing ammunition carries a risk of poisoning) It is the unit that creates treatment protocols. 15  Patient tracking and reporting module (6): Real-time information to the physician via electronic device compatible with electronic patient record systems, offering timely diagnosis and treatment recommendations. It is a unit that automatically processes patient data through manual operation. The invention's working principle and operation are as follows: 20 With image processing and initial analysis (Emergency Response Phase), when the patient arrives at the clinic, high Wound images are captured via a high-resolution camera or mobile device. Image processing and The artificial intelligence engine analyzes the shape, color, entry and exit points of the wound, and any possible burn scars. The system determines whether the injury is ballistic in origin and provides the initial information to the physician. It presents the assessment. Radiological imaging and ballistic ordnance analysis (Detailed 25) During the evaluation phase, the patient's X-ray, MRI, or CT images are uploaded to the system. Artificial intelligence can detect the effects of bone fractures, foreign bodies, organ damage, and secondary trauma. It analyzes the detected foreign objects by comparing them with the ballistic ammunition database. The type of ammunition is determined. Treatment planning and clinical guidance (Treatment Phase) are then implemented within the system. It automatically creates a treatment plan based on the type of wound and the patient's overall health condition. 30 Whether surgery is necessary, which antibiotics or analgesics will be used, etc. Details are recommended to the doctor. If toxic substances such as lead are detected, detoxification treatments are recommended. It is automatically suggested. The physician reviews the system's recommendations and approves the treatment plan or It regulates the patient through follow-up and long-term clinical management (recovery and monitoring phase). After discharge, the system monitors the healing process. Possible complications 35 Clinical examinations are planned to identify (infection, tissue necrosis, etc.). Long-term data, It enables the system to learn in preparation for future ballistic injuries. The invention is the first AI-powered decision-making tool specifically developed for veterinary ballistic injuries. It is a support system. It utilizes specialized artificial intelligence capable of analyzing the metal composition of ballistic ammunition. By analyzing entry and exit wounds, ammunition is assessed using a radiological evaluation algorithm based on data collection. Automatic detection of the type and secondary damage is provided. 5 depending on the type of injury. A personalized, automatically generated treatment plan is created. Real-time and... Rapid reporting also helps to speed up emergency response processes. It facilitates the management of the recovery process by enabling long-term monitoring of the patient. Below is an example usage scenario: Scenario: Ballistic Injury Status of a Police Dog: 10 Incident: A K9 dog, wounded by a gunshot during a police operation, is brought to the clinic. The veterinarian takes an image of the wound via the system's mobile application. Artificial intelligence, It determines the entry and exit points in the wound and diagnoses a ballistic injury. Radiological With imaging, the doctor takes an X-ray of the patient and uploads it to the system. For example, artificial intelligence takes an X-ray of the left anterior region. He detects a metallic object in the leg bone and determines that the ammunition contains lead. 15 The risk of lead poisoning is identified, and a specific detoxification treatment is recommended. The system, surgical removal of the bullet, administration of antibiotics and pain management medications. The system makes recommendations. The physician approves the recommendations and the treatment begins. The system monitors the healing process. The doctor receives regular reminders for this purpose. Patient data is recorded and future ballistic tests are performed. It can be used as a reference in injuries. This invention will be used in the diagnosis and treatment of ballistic injuries. and an integrated system that will revolutionize management, providing veterinarians with fast and accurate services. It provides decision-making support. The system includes AI-powered image processing, radiological analysis, and ballistic ordnance detection. With its treatment planning and rapid reporting features, it has great commercial potential. 25 Our invention offers long-term solutions for veterinary clinics, animal hospitals, and forensic veterinary medicine. Suitable for use in military and police veterinary units, and wildlife management. and a wide market in areas such as rescue operations in natural disaster zones. It has the capacity to address this issue. Detection of ballistic injuries in veterinary clinics and... Because its treatment is a highly specialized field, such innovative approaches represent a great 30% success rate. It can fill the market gap. In the fields of police, military and forensic veterinary medicine, ballistics. There is a continuous need for the detection and documentation of injuries. The invention may directly or indirectly interest the following potential customers: Veterinary clinics and hospitals, animal hospitals, veterinary clinics for small and large livestock: 35 Police dogs, guide dogs, and therapeutic dogs are particularly useful in dealing with ballistic injuries. veterinary clinics considering updating their inventories for special cases such as animals 11 The invention is usable in large-scale animal hospitals and veterinary health facilities in Türkiye and worldwide. They are seeking technological improvements in their systems. Judicial and military institutions, police and military units, gendarmerie and military medical units: Police dogs, military dogs and other animals used for security purposes, ballistic They may be more susceptible to injuries. Treatment of ballistic injuries for military animals 5 The recording and forensic documentation of these specimens could create a significant market. Forensic veterinary experts, Forensic investigations conducted on animals, especially regarding ballistic injuries, are crucial for accurate analysis. Wildlife conservation and rescue organizations need these kinds of systems for detection. Wildlife conservation associations and natural disaster relief units Injury assessment can be performed during the rescue and rehabilitation processes. For these organizations, 10 The use of this system could provide a significant advantage. The commercial value of our invention lies in its innovative nature. Given the features and the breadth of application areas, it is quite high. Veterinary treatment and immobilization systems for ballistic injuries are not yet widely available. Since it is an uncommercialized area, this type of product has a competitive advantage in the market. This is the case. The veterinary sector, in particular, is a rapidly growing market worldwide, with 15 AI-based systems developed for the detection and treatment of ballistic injuries Its entry into the market constitutes a significant innovation in the sector. The invention is a global leader in AI-powered ballistic injury detection and treatment. By providing leadership, it has high sales potential as one of the first commercial solutions in this field. It can be reached. Collaboration with university veterinary faculties and large veterinary clinics through the invention. A pilot application of the system should be initiated by conducting this study. Forensic veterinary medicine in veterinary faculties, It can be integrated with traumatology and radiology departments. Emergency veterinary clinics and animal Hospitals are the system's primary target markets. The decision support system can be offered to veterinary clinics as cloud-based software. Subscription This model (Saa$ - Software as a Service) allows veterinarians to make monthly / annual payments. The system can be used to provide image analysis and ammunition detection, depending on the needs of the clinics. Different modules can be offered, such as radiological analysis. This applies to government agencies and forensic veterinary medicine. For use in forensic veterinary practices, legal authorities, gendarmerie and police 30 Cooperation can be established with the organization. Agreements can be made with municipalities and animal shelters. The system's scope of application can be expanded. By forming partnerships with medical and technology companies, diagnostics can be improved. can be integrated into systems, with manufacturers of radiological imaging devices such as X-ray, MRI, CT. Direct integration of the system can be achieved. 35 The alternative eye configurations presented in our invention, the analysis of ballistic injuries, and Treatment planning can be improved in several different ways. Just image processing alone. 12 Using a focused system that uses image processing and artificial intelligence, only the external appearance of wounds can be detected. Systems can be developed that analyze the appearance and entry / exit points of entry and exit points. However, these structures It is limited because it does not include essential features such as radiological imaging and ballistic ordnance detection. It remains. Detection of ballistic ammunition with radiological imaging-assisted applications and 5 focusing on radiological analysis process, but including surgical treatment and recovery monitoring Solutions that exclude these elements are also possible. Such systems are medical solutions for clinics. It can be developed by large companies that offer imaging solutions. Also, not just ballistics. It could also be a software solution for detecting injuries and performing forensic reporting. This software, It may not include elements such as toxic substance analysis, surgical planning, and treatment monitoring, however It can facilitate the recording and reporting of ballistic data for a forensic process. The invention involves animals 10. General software related to health can have a ballistic injury module added, but currently... While software mostly focuses on emergency response and treatment processes, ballistic ammunition... They do not offer detection or in-depth radiological analysis. Our invention fills a significant gap in the detection and treatment of ballistic injuries. It offers an innovative solution. Full integration in alternative structures and ballistic ammunition. It appears that critical elements such as analysis are missing. This feature hinders the competition of our invention. This is an important factor that reinforces its advantage. The invention developed a system capable of visually analyzing ballistic injuries, with 20 different types of wounds. Accurate and reliable results have been obtained regarding their external appearance and entry / exit points. Various Because the visual characteristics of injury types and ammunition types vary greatly, this An algorithm has been developed that can accurately identify the situation. Deep learning algorithms. Using these methods, specialized image processing models have been developed that can identify different types of injuries. These models were trained on various injury examples to improve the accuracy of the system. 25 The datasets have been continuously expanded for this purpose. Radiological images of ballistic injuries. It is quite powerful for properly analyzing and detecting ammunition. And precise algorithms are needed. In imaging techniques such as X-ray, MRI and CT. The characteristics of the injuries are sometimes not obvious, hence the identification of the ammunition. It can become complex. The invention provides specialized data analysis for processing radiological images. 30 Techniques and artificial intelligence-based detection algorithms have been developed. These algorithms are used for ballistics. more It is enhanced with sensitive models. The system is for visual processing and radiological imaging only. It analyzes not only the results of blood tests but also those of other additional tests. This The fact that the tests are in different data formats leads to technical difficulties in the integration process. 35 It opens up. Data processing modules have been created for the results of the invention and tests. Data During the integration process, structural compatibility of different test results was ensured. 13 In addition, multiple data sources have been integrated to enable the combined analysis of this data. The ability of physicians to access accurate and timely information is one of the most critical elements of the system. Ballistic injuries are cases requiring immediate intervention, so the system needs to act quickly. They need to make the right decisions. This requires taking time constraints into account and achieving high standards. This makes it difficult to create a structure that demands high performance. The system is a speed-oriented 5 It has been optimized to have a structure that includes performance improvements and artificial intelligence. This has enabled the acceleration of decision support algorithms based on data processing, thus providing physicians with the shortest possible time. Accurate reports have started to be provided within a certain period. This already exists in veterinary clinics. The invention's technological design allows it to work seamlessly with imaging devices and other testing equipment. Integration presents a significant challenge, especially since the equipment used in each clinic is different. Because of this, the system needs to ensure broad compatibility. Integration in the invention. A modular structure has been created for the process. This structure is compatible with different devices and software. Work has been done on API integrations and data transfer protocols to ensure it works. To overcome technical challenges, continuous testing, data collection, and artificial intelligence algorithms are necessary. The focus has been on improvement. Additionally, clinical feedback throughout the trial period was collected. 15 The invention has been acquired and continuous improvements have been made to bring it to its final form. Our invention enables the evaluation, diagnosis, and treatment of veterinary patients with ballistic injuries. It is a decision support system that enables the management of the treatment process and the stages of the procedure. This can be summarized as follows: 20 The patient is brought to the veterinary clinic. The appearance of the injury and the patient's general health condition are assessed. It is observed. Emergency situations requiring quick decisions for initial intervention are identified. Data The collection process begins. Preliminary analysis is performed using image processing. External appearance of the injury. The wound is analyzed using visual processing technology. Wound type, entry and exit points, and tissue damage are detected. The image processing module (1) determines whether the wound is due to ballistic trauma. It is evaluated. If the suspicion of ballistic injury is confirmed, further analyses are carried out. X-ray, Magnetic resonance imaging (MRI) or computed tomography (CT) scans are requested. Radiological images are analyzed. The type of ammunition (metal content, shape, location) is determined by this process. Bone, soft tissue and internal organs. Organ damage is assessed. The presence of embedded foreign bodies is evaluated. Blood is taken if necessary. Tests, toxicology analyses and microbiological tests are added. Ballistic ammunition identification and 30 Disinformation analysis is performed. The images and test results are sent to the decision support system. The metal composition and properties of the ammunition are analyzed. It may contain lead (Pb) or toxic substances. It is determined whether or not it is ammunition. To prevent misinformation or erroneous reporting. Disinformation is detected. The analysis results are presented to the physician in a detailed report. A treatment plan is created using a decision support mechanism. The AI-powered system covers all 35 It analyzes the data. Recommended treatment procedures are developed. Surgical intervention (if necessary) Antibiotic, painkiller, and supportive medication protocols are established. Long-term follow-up is performed. 14 and a recovery plan is determined. The treatment process is initiated and the patient's condition is monitored. The entire process It is automatically reported and recorded. The physician reviews the recommended treatment plan. The procedure is performed on the patient. The patient's condition is monitored, the recovery process is observed, and revisions are made as needed. The veterinarian can monitor the patient's progress in real-time through the system. Ballistic injuries are cases that require immediate intervention, therefore, our invention... Providing quick and accurate information to the physician for open wound detection and ballistic ammunition analysis. and developing protocols for surgical intervention is critical for clinical veterinary medicine. This technology is of great importance. It allows veterinarians to increase the chances of survival for animals. helping them to increase their numbers and at the same time to handle cases more quickly and effectively. 10 This will enable the acquisition of patient image data and test results. Data privacy and security issues are of paramount importance. Furthermore, patients' private information... Proper management and compliance with legal regulations are necessary. Veterinarian For this system to function effectively in clinics, training modules are necessary. It is necessary to develop the system and ensure that veterinarians can easily adapt to it. Clinics 15 Because they work intensively, rapid training facilitates the use of such systems. User manuals should be provided. Additionally, explanations should be given on how the system adapts to the working methods of veterinarians. Emphasis should be placed on its integration into ballistic injuries, veterinary medicine, forensic medicine, and Because it is a subject that combines engineering fields, this type of system requires a multidisciplinary approach. It needs to be developed with this approach. Both veterinarians and ballistic engineers should be involved in this for 20 years. With their contributions, the accuracy and effectiveness of the system can be increased. Our invention is not only local, It also has great potential in terms of the international market. Veterinary medicine in other countries. Clinics may need this type of decision support system, especially in developed countries. For veterinary clinics, such innovative methods are important for the protection and treatment of animals. Interest in these systems is increasing. For the invention to function efficiently and sustainably, 25 Continuous updates and system maintenance activities are also important. This type of software, database and their algorithms must be updated regularly to remain consistent with evolving medical knowledge. These topics are crucial for the successful development, implementation, and market launch of the invention. These are the essential requirements.

Claims

REQUESTS 1. Artificial intelligence that provides decision support for ballistic injuries for clinical veterinarians. intelligence-based, image processing, radiological analysis, and ballistic ordnance detection. by providing veterinarians with quick diagnosis and treatment recommendations via electronic devices 5 providing emergency intervention, surgical planning and long-term patient follow-up. It also provides for use in the field of forensic veterinary medicine, enabling the analysis of possible criminal cases. contributing institutions, particularly veterinary clinics, military and police animal hospitals. Ballistics for use in veterinary clinics and wildlife rehabilitation centers It is a visual processing and decision support system for injuries, and its feature is; 10  It performs a visual analysis of the wound with the camera system it has, Equipped with a thermal camera that determines the level of tissue damage, deep processing through the image processing and artificial intelligence engine running inside Performing learning-based image processing, it identifies the entry and exit points of a wound. By analyzing the color, shape, and texture of the wound, the doctor can determine the relationship between the wound and the ballistic ammunition. image processing module (1),  It works in conjunction with X-ray, MRI, and CT scanners to analyze the wound in detail. Bone fractures detected by AI-powered analysis algorithms, foreign bodies, organ damage, secondary trauma effects and injury. interpreting radiological imaging module (2), 20  radiological images received from the radiological imaging module (2) Ballistics analyzes foreign objects and identifies the type of metal in the ammunition. Ballistics determines the type of ammunition used by comparing it with the database. ammunition identification system (3),  Risk of toxic or infectious disease depending on the severity of ballistic injury 25 The wound information analysis unit (5) that evaluated the wound,  Image processing module (1), radiological imaging module (2), ballistic ammunition identification system (3), wound disinformation analysis unit (5) communication, surgical intervention, drug treatment, infection control and long-term 30 recommended follow-up processes based on the toxic effects of the detected ammunition. AI-powered decision-making mechanism that creates special treatment protocols (4), According to the analysis of the AI-supported decision mechanism (4), the doctor is given electronic an electronic device that provides real-time diagnosis and treatment recommendations. Working in conjunction with patient record systems, it automatically processes patient data. an automated treatment based on the type of wound and the patient's overall health condition 35 the plan being formulated, whether surgery is necessary, which antibiotic or 16 Patient follow-up and reporting that details such as when analgesics will be used. module (6) It includes.

2. Visual processing and decision-making for ballistic injuries in veterinary clinics in accordance with Claim 1 5 It is a support system that provides voice assistance to a doctor via an electronic device in emergency situations. and / or includes an audio and visual warning system (7) that gives visual warnings.

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