AN INTERACTIVE 3D SYSTEM THAT SIMULATES ANATOMICAL STRUCTURES AND PHYSIOLOGICAL NERVE CONDUCTION DIRECTIONS, CREATING ADAPTIVE EXAMS BASED ON USER INTERACTIONS, FOR USE IN HEALTH EDUCATION.
Patent Information
- Application Number
- TR202605071
- Authority / Receiving Office
- TR · TR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2026-04-05
- Publication Date
- 2026-09-21
Smart Images
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Abstract
Description
1 TARIFF ANATOMICAL STRUCTURES FOR USE IN HEALTH EDUCATION AND SIMULATING PHYSIOLOGICAL NERVE TRANSMISSION DIRECTIONS, USER-SPONSORED. INTERACTIVE 3: CREATING ADAPTIVE EXAMS BASED ON INTERACTIONS DIMENSIONAL SYSTEM 5 Technological Field This invention is generally relevant to health sciences (medicine, dentistry, physiotherapy and rehabilitation, (nursing etc.) education; universities, educational institutions, private / public hospitals, health organizations and health technology companies by their own digital training and in-service equipment 10 theoretical and practical applications by academics and medical professionals that can be integrated into their systems It can be used as an interactive teaching material in practical lessons, and by students... to learn complex anatomical and physiological processes more effectively and prepare for exams It can be considered as a tool for individual study, and also used in the field of neuroscience. 15 in advanced academic studies and independent learning processes for individuals interested in the field computer-based medical training technologies and digital tools developed for use It is related to simulation systems. 25 2 State of the Art Today, the nervous system and complex systems are widely studied in medicine, dentistry, and other health sciences. The teaching of anatomical structures is largely done using two-dimensional (2D) printed atlases and cadavers. dissections, through standard models and two-dimensional presentation materials This is being carried out. With the developing technology, the existing three-dimensional 5-dimensional images are being transferred to the digital environment. (3D) anatomy software and applications generally only display structures statically (statically). It models and allows the user to rotate and examine the anatomical structure around its axis. It cannot go beyond presenting. Examination of current training and simulation systems reveals various disadvantages and technical issues. The following shortcomings are noticeable: Firstly, current 3D digital anatomy applications only show the morphological aspects of nerves and tissues. It presents (structural) limitations. Signal on sensory (afferent) and motor (efferent) fibers. Directions of transmission, such as the physiological flow from the onset of the stimulus to the target organ (effector). 15 Dynamic processes cannot be visualized. This situation prevents students from visualizing the interactions between structures. This makes it difficult for them to grasp the functional relationship and prevents clinical integration. This pushes education towards a rote learning approach. Complex anatomical tracings are done using traditional methods. The effort to recreate mental rotation is important for both educational institutions and academics. This leads to difficulties in transferring information and difficulties in understanding for students. 20 Secondly, assessment and evaluation (exams) in existing digital health education platforms. The modules have a static and standard structure. This presents the student or healthcare professional with a fixed question. These systems, which test with a pool of data, analyze the user's interactions with the 3D model. There is no AI-based feedback mechanism in place. The user's model 25 where it focuses, how much time it spends finding which anatomical structure, clicks behavioral data such as hesitations or cursor / touch movements (heat map data) It is not collected and processed. Therefore, it affects the user's immediate performance and weaknesses. It automatically updates the question type and difficulty based on the topics covered, and is personalized. An (adaptive) exam experience cannot be provided. 30 3 A third disadvantage is the separation of basic sciences and clinical sciences (pathology, neurology, surgery, etc.). The technological disconnect lies between them. Current simulations often do not accurately depict healthy anatomical structures. They merely show; pathological conditions (lesions, tumors) on the relevant nerve or tissue. pressures, traumas) and the disruptive effects of these diseases on physiological transmission are shown in the same 3D model 5. It is unable to present interactive clinical case scenarios simultaneously. This deficiency, integrated development of clinical decision-making skills of students and researchers It restricts. A fourth disadvantage is that nerve pathways and anatomical locations cannot be determined fully and accurately with experience. These are spatial perception errors resulting from the lack of presentation. Students, with the two available options... When working with three-dimensional or static materials, the nerve's actual location inside the body... in their minds its depth, its curves and its three-dimensional topographical relationship with neighboring structures It is mispositioned. The system's inability to offer sufficient depth and interaction affects medicine and health. This creates a foundation for structural learning errors in education that are difficult to correct. 15 Fifthly, due to insufficient visual materials in educational institutions, teaching processes These are significant time losses. Academics and instructors need a three-dimensional and interactive environment. Complex concepts can be conveyed much more quickly and clearly with the help of simulation. Neuroanatomical topics have to be expressed using traditional methods and lengthy theoretical explanations. This lack of materials increases the educator's workload and reduces the effectiveness of the lessons. It reduces the time spent on curriculum development and unnecessarily prolongs it. A sixth shortcoming is that current systems lack cumulative data analytics and classroom tools for instructors. The inability to provide management tools. In addition to the lack of individual assessment and evaluation, the existing 25 The platforms collect interaction data from all students in a class and provide it to the instructor. It is unable to report what a particular nerve trajectory of students shows as a class as a whole. For example, what a particular nerve trajectory of students shows as a class as a whole shows what it ... cumulative data such as how much time was spent or in which anatomical structure the errors were predominantly made Heat map statistics cannot be presented. This situation hinders the academics' understanding of the group's overall perspective. 4 to measure the level and which specific topics should be emphasized more in the curriculum This prevents it from obtaining strategic insights (feedback) on what is needed. Seventh, current digital anatomy and health simulation software is often closed-source. It has been developed in architecture (statics), with interactive academic feedback and continuous validation 5 It lacks a validation mechanism. Users (academics, researchers, or a new clinical system where students can report a possible anatomical / physiological deficiency in the system an established system where a case study or current literature data can be requested to be integrated. There is no communication module. This situation rapidly reduces the scientific currency of existing software. This leads to a loss and, with the guidance of expert consultants, continuous improvement is achieved by reviewing current literature. 10 This makes it impossible to build a dynamic and improving educational platform. An eighth technical limitation is the lack of high-resolution and detailed medical simulations currently available. their systems have demanding hardware requirements (high processor / graphics power or expensive virtual reality (reality equipment) dependency. Existing complex software, students or medical 15 professionals' standard equipped personal computers or mobile devices (tablets) It lacks the optimization that would allow for uninterrupted remote learning. This The situation is that quality simulation training is only available through certain laboratories or high-budget institutions. By limiting it to institutions, it undermines equal opportunities in education and makes it location-independent (from anywhere). (accessible) hinders the continuous learning model. 20 Patent application number 2026 / 000347 states “NeuroTurkSimVR-Medical Education and Surgery For simulations; artificial intelligence featuring high-realism visualization and physics-based interaction. The "Intelligence-Assisted Integrated VR System" is described. The invention is particularly relevant to brain and nerve surgery. It provides a virtual reality (VR) platform developed for training. This system, texture 25 6-axis motion tracking to provide physical resistance and organic appearance in interaction. (6DOF) and haptic gloves are used; the patient's actual tomography (CT) data is entered into the system. By transferring this knowledge, it creates patient-specific surgical operation scenarios. In this way, surgical training experiencing the processes and tissue resistance in a realistic physical interaction environment is intended. 30 The invention described above allows the user to experience physical tissue interaction through surgical instruments. Although it offers training in surgical incision procedures and motor skill development, it is primarily focused on these areas. It focuses on the physiological functioning within anatomical structures and neural networks. It is unable to dynamically analyze sensory (afferent) and motor (efferent) transmission directions; furthermore different disease scenarios, lesion locations, and the effects of these pathologies on body functions 5 It is unable to comprehensively simulate the effects on the body. This limitation prevents the simulation of pathological processes. visualization on anatomical models, clinical case analysis, and diagnosis. This makes the system inadequate in terms of understanding the processes. Therefore, user experience, It remains limited to the mechanical stages of surgical operation and the most critical aspects of medical practice. It does not include understanding pathology, which is one of its components, and clinical decision-making processes. 10 In addition, the system is dependent on heavy hardware such as virtual reality headsets and haptic gloves. This means it is hardware-independent and accessible from anywhere in the educational environment. It prevents the user from presenting it. It also prevents the user from cognitively analyzing the three-dimensional model. By analyzing their interactions (e.g., click hesitancy and focus durations), a “heat 15” creating a "map" and providing personalized (adaptive) exams or diagnoses based on this data. It also lacks the capacity to produce scenarios. The system we developed provides not only a static representation of anatomical structures, but also... By dynamically simulating physiological flows and pathophysiological processes, it allows the user to 20 understanding disease mechanisms and diagnostic skills through clinical scenarios It enables its development. Furthermore, artificial intelligence analyzes user interaction data. Thanks to the supported adaptive assessment system, the learning process is personalized and A training accessible through standard devices without the need for heavy VR hardware. The infrastructure is provided. In these respects, the system is not only motor skill-based surgery 25 Going beyond simulations, incorporating fundamental sciences, pathophysiology, and clinical decision-making. It presents an innovative approach that addresses these processes in an integrated manner. In conclusion, the structural, pedagogical, managerial, and hardware aspects of existing technologies... Given their shortcomings; 30 in health sciences education and institutional uses A new approach is needed. Anatomical structures and physiological functions (nerve transmission) 6 dynamically combining (in terms of aspects), able to integrate pathological case scenarios, user By processing their interactions (heat maps) with artificial intelligence, it provides students with an adaptive exam experience. It also provides the instructor with cumulative classroom data; at the same time, it prevents time losses and spatial analysis. Eliminates learning misconceptions, accessible from anywhere with standard equipment, and expert-level An innovative, multidisciplinary, and interactive 3D 5 that can be continuously updated with feedback. Developing a simulation system has become a technical necessity. 15 25 7 Description of the invention: This invention is AI-powered and capable of overcoming the aforementioned disadvantages. It is an integrated medical simulation and adaptive examination system, characterized by its use of cadavers and physical examination techniques. Eliminating dependence on laboratories, personalized cognitive analysis and precise measurement, Real-time physiological / pathological simulation and high anatomical accuracy, cloud-based 5 academic data storage, hardware-independent user-friendly interface, corporate (LMS / Hospital) system integration, time saving in training, high-quality laboratory equipment. cost reduction, commercial scalability through corporate licensing, clinical decision-making. Its assistant function and high medical validity are key features. This invention uses advanced 3D modeling and artificial intelligence technologies to advance medicine and healthcare. science students understand complex neural networks and anatomical structures with scientific accuracy. to enable them to analyze, thus experiencing their educational experiences with maximum realism. It provides interactive learning without the need for physical models or cadavers. providing an environment that raises educational standards to the highest level by overcoming ethical and access restrictions. It provides users with real-time physiological flow and instantaneous pathology simulations. They can experience different disease scenarios within seconds, surpassing traditional theoretical approaches. Compared to lectures, it saves a great deal of time. Furthermore, it allows each student to understand. Thanks to the adaptive exam system optimized according to speed and interaction data, the difficulty level is reduced. This makes it easier to adjust the level correctly, improving student satisfaction, academic achievement, and 20 Organizations are increasingly adopting the system. Image processing and heat map based. The accuracy provided by the analyses improves the user experience for universities and hospitals. It also provides advantages in terms of training costs and operational efficiency. The invention does not require physical laboratories, expensive virtual reality (VR) equipment, or cadavers. without needing access, users can access the digital environment using standard devices (computers, tablets) It allows them to experience medical simulation through it. Thus, spatial and Hardware limitations are eliminated, equal opportunities in education are provided, and high-cost infrastructure is avoided. The necessities are minimized. In this respect, traditional static models or heavy equipment are avoided. Unlike VR methods that require accessibility, it raises accessibility standards and 30 It prioritizes uninterrupted education. 8 The system includes not only general anatomical structures but also sensory (afferent) and motor (efferent) transmission. directions, physiological flow in nerve pathways, and the user's micro-directions on the 3D model. also analyze behaviors at different levels (click hesitancy, focus duration, cursor movements) It is able to do so. This in-depth analysis capability processes heatmap data. 5 To suggest questions and clinical cases of difficulty most appropriate to the user's individual knowledge level. It offers a powerful AI-powered infrastructure. This makes the learning experience more efficient and the exams easier. and the measurements become more accurate. Thanks to the simulation module, selected disease scenarios and clinical cases are presented in a 3D realistic simulation. It is instantly integrated into the anatomical model. Dynamic lighting animations, flow direction modeling. and graphical blending techniques to examine the effects of pathological conditions on body functions 10 The disruptive effects are visualized in the most realistic way possible. The user can see different clinical effects in seconds. They can experience combinations and nerve lesions, thus understanding and diagnosing diseases. Significant time savings are achieved in the placement processes. One of the original elements of the invention is the storage and data management unit, user-specific exam 15 It can record its results, heat map data, and clinical cases it has resolved. This feature, to review the student's past performance and assess their progress in areas where they are weak. It allows for comparison and the creation of a personal academic archive. Instructors can also do this. Thanks to its ability to monitor cumulative data, the system is not only a real-time visualization tool, It also becomes a data-driven classroom management tool and a personal teaching assistant. 20 The system, which operates via an interactive interface on the screen, offers the user a simple experience. Similarly... Automatic listing of cumulative data reports and student records over time, API integration into the Learning Management Systems (LMS) of universities and hospitals This creates the opportunity. Thus, institutions can directly incorporate this simulation into their own training curricula. They can integrate and license it. This increases sales conversion rates in the business-to-business (B2B) market, opening the doors to modern, data-driven and interactive education for academics and students. between them. 9 Explaining the Figures: The invention will be described by referring to the attached figures, so that the features of the invention can be more clearly explained. It will be clearly understood and appreciated, but the purpose of this is to explain the invention with these specific arrangements. It is not about limiting. On the contrary, it is about encompassing the area within which the invention is defined by the accompanying claims. 5. Inclusion of all possible alternatives, modifications and equivalencies. is intended. The details shown are only those of the preferred arrangements of the present invention. It was shown for the purpose of explaining and shaping both the methods and the invention. to provide the most useful and easily understandable definition of its rules and conceptual characteristics It should be understood that they are presented in these drawings; Figure 1: Modular architecture of the system subject to the invention. and is a view of the data flow. 10 Figure 2: Showing the operation of the system and the adaptive decision algorithm of the invention. It is a schematic diagram. Figure 3: Anatomical modeling of the invention and dynamic physiological flow along neural pathways. This is an example drawing to illustrate. Explanation of References: Illustrations that will help understand this invention are shown in the attached image. They are numbered and their names are given below. 1. User Interface (Screen) 2. Three-Dimensional (3D) Visualization Module 20 3. Physiological Flow Simulator 4. User Interaction Tracking Unit 5. Artificial Intelligence and Analytics Module 6. Databases and Libraries 7. Instructor / Administrator Panel 25 8. System Startup and 3D Model Loading 9. User Interaction with the Model 10. Collection of Interaction Data by the System 11. Creating a Heatmap 12. Data Analysis and Decision Making by Artificial Intelligence 13. Transition to Advanced Pathological / Clinical Scenario 5 14. Returning to Basic Anatomy and Simple Scenarios 15. Storing Results and Transferring Them to the Instructor Panel 16. Lacrimal gland (Tear gland) 17. Lacrimal nerve (N. lacrimalis) 18. Sympathetic fibers (Sempatik lifler) 10 19. Lacrimal branch of zygomaticotemporal nerve 20. Zygomaticotemporal nerve (N. zygomaticotemporalis) 21. Zygomaticofacial nerve (N. zygomaticofacialis) 22. Foramen rotundum 23. Maxillary nerve – V2 (N. maxillaris) 15 24. Pterygopalatine ganglion (Ganglion pterygopalatinum) 25. Nerve of pterygoid canal (N. canalis pterygoidei / Vidian nerve) 26. Pterygoid canal (Canalis pterygoideus) 27. Greater petrosal nerve (N. petrosus major) 28. Deep petrosal nerve (N. petrosus profundus) 20 29. Internal carotid artery (A. carotis interna) 11 30. Sympathetic plexus (Plexus caroticus internus) 31. Preganglionic parasympathetic fibers 32. Sympathetic fibers 33. Postganglionic parasympathetic fibers 34. Sensory fibers (Sensory) 5 Important Note / Scope Statement: Anatomical model (N. Trigeminus, as detailed in Figure 3 and reference numbers (16-34), Lacrimal gland and related nerve pathways), the working principle of the system that is the subject of the invention, physiological 10 presented to illustrate flow simulation and pathological integration capability This is merely an example application. The system and modular infrastructure that are the subject of this invention are specific to this anatomy. not limited to; all central and peripheral nervous system networks in the human body, cardiovascular (vascular) systems and all other anatomical / physiological structures (musculoskeletal, (respiration, digestion, etc.) can be integrated with the exact same artificial intelligence and simulation logic and 15 It is feasible. 25 12 Description of the Invention: The invention enables the user to log in to the system and create a system via standard equipment. interactive system that allows users to obtain anatomical, physiological, and pathological data as visual output. user interface (1), high in accordance with the commands from the user interface (1) 3D 5-inch screens model and display high-resolution anatomical structures and biological networks. (3D) visualization module (2), signal within anatomical structures on the 3D model visualizing transmission directions in real time using dynamic lighting and animation techniques. and physiological flow simulator (3) which is modified according to clinical scenarios, allows the user to 3D model cursor movements, click hesitations, and erroneous selections are recorded in the background. User interaction tracking unit (4), which records in milliseconds, user interaction tracking 10 by processing the raw data transferred from the unit (4) and creating heatmaps for the user Artificial intelligence that automatically determines the most appropriate adaptive clinical scenarios based on knowledge level. and analysis module (5) and academic data, student performances and class achievements (7) the instructor / administrator panel which allows instructors to monitor statistics has. 15 The invention contains the necessary anatomical and pathological scenarios for artificial intelligence (5), which are analyzed. heat map data, user's past exam attempts and interaction processes database and library (6) which records and stores, creating a dynamic academic memory to have, the educational / administrative panel (7) and to maintain the scientific accuracy of the system Users can report potential errors / omissions in 3D models or scenarios, and these 20 An interactive system that ensures notifications are integrated into the system after undergoing expert approval. It has a feedback and verification mechanism. 13 Detailed Description of the Invention The components that make up the invention are basically: user interface (1), three-dimensional (3D) visualization. module (2), physiological flow simulator (3), user interaction tracking unit (4), artificial intelligence and These are the analysis module (5), database and library (6) and the instructor / administrator panel (7). The operational steps of the system described in the invention generally include: system startup and 3D modeling. loading (8), user interaction with the model (9), interaction data to the system collection by (10), creation of heatmap (11), data by artificial intelligence to be analyzed and decided upon by (12), transition to advanced pathological / clinical scenario (13), basic anatomy and easy 10 returning to scenarios (14) and storing the results and transferring them to the instructor panel (15) is happening. This invention is a user interface that runs on standard computer or tablet hardware (1) It allows the student to log in to the system and provides high-resolution anatomical structures. 15 It displays the three-dimensional (3D) visualization module (2) on the screen. A neural network is used from the user interface (1). When a lesion or anatomical structure is selected, the process moves beyond a static 3D model to explore physiological flow. The simulator (3) is activated. This simulator (3) is activated, for example, around the internal carotid artery (29). sympathetic fibers (32) coming from the sympathetic plexus (30) and the greater petrosal nerve (27) flows of preganglionic parasympathetic fibers (31) coming through the pterygoid canal (26) 20 How it merges along the vidian nerve (25) inside it is realized with dynamic light animations. It visualizes the flow in time. The flow synapses in the center of the pterygopalatine ganglion (24) maxillary nerve (23) and foramen rotundum as postganglionic parasympathetic fibers (33) The passage from (22) to the lacrimal gland (16) is simulated with high anatomical accuracy. While the user is examining these complex networks, the user interaction tracking unit (4) monitors the mouse's movements in the background. by collecting waiting times, click hesitations, and erroneous selections down to the millisecond. It transfers the data to the artificial intelligence and analysis module (5). The artificial intelligence (5) analyzes the user's anatomical and physiological information. By measuring the level of knowledge, the most suitable clinical cases for the student are found through the database and library (6). It lists them automatically. One of the unique elements of the invention is that it functions as a storage unit. database and library (6), and the system not only provides instant simulation but also 30 This unit also enables the recording and archiving of academic data. This unit supports the student... 14 past exam practice tests, heat map data, and pathological scenarios in which he struggled were personal. It stores this information in digital profiles, allowing students to view their past performance again. Through the instructor / administrator panel (7), academics can view the overall success statistics of the class. It can make comparisons. In this way, the system goes beyond being just a real-time 3D visualization tool, 5 that create a dynamic educational memory and adaptive assessment tool specific to institutions It is becoming a smart platform. The scientific accuracy and timeliness of the system are constantly being checked. To facilitate this, a feedback and validation loop has been integrated into the structure. Users (students or medical professionals), in a 3D anatomical model, physiological flow directions or clinical potential scientific errors, omissions, or new feature proposals they noticed in the scenarios It can report to the system via the user interface (1). These reports are sent to the database 10 and collected in a special review pool on the library (6). Authorized medical professionals or academics, through the educator / administrator panel (7) these notifications according to medical literature It evaluates the verified reports; the core structure of the system, 3D visualization It is permanently integrated into the module (2) and artificial intelligence training sets. In this way, the invention is made available to the masses. 15 that constantly updates and improves itself with a self-provided quality control mechanism. It acquires the characteristics of a dynamic medical platform. The invention involves starting the system and uploading the 3D model when the student logs in. (8), the student performs the diagnostic tasks given to him on the anatomical structures on the screen to bring it, the user interacts with the model (9), the cursor during this interaction 20 movements, target finding times and hesitations are monitored by the user interaction tracking unit (4) by recording and collecting interaction data by the system (10), these collected data In this context, the areas where the student struggles or focuses on the 3D model are color-coded. The creation of a heat map visualizing (11), the artificial intelligence and analysis module (5) of this map by processing the data using algorithms, it determines whether the student has grasped the subject and the data is 25 Analysis and decision-making by artificial intelligence (12), student as a result of analysis If successful, the algorithm can escalate the level, for example, by digitally pressing a tumor onto the relevant nerve pathway. adding and moving to an advanced pathological / clinical scenario (13), if the student has made a mistake by reducing the difficulty level of the system and returning to basic anatomy and easy scenarios (14) and This entire adaptive examination process is designed to monitor student progress and class averages. Storing the results and transferring them to the instructor panel (15), the steps of the process It includes.
Claims
REQUESTS 1- The invention relates to an artificial intelligence-assisted medical simulation and adaptive examination system, feature; — allowing the user to log in to the system via standard hardware and create Interactive user interface that enables the visual output of anatomical / physiological data. 5 (1), — high-resolution anatomical images in accordance with commands from the user interface (1) A three-dimensional (3D) visualization module that models and displays structures and neural networks on the screen. (2), — Dynamic lighting and 10 Physiological flow simulator (3) which visualizes in real time with animation techniques. — the user's cursor movements on the 3D model, click hesitations, and errors User interaction tracking unit (4) which records their choices in the background on a millisecond basis. — heat maps by processing raw data transferred from the user interaction tracking unit (4) artificial intelligence that creates and determines the most appropriate clinical scenarios according to the user's level of knowledge 15 and analysis module (5), — containing the necessary anatomical scenarios for artificial intelligence (5) and the student's cumulative database and library that records performance data (6) and — allows instructors to monitor academic data and student performance. 20 It has a trainer / administrator panel (7) that recognizes it. 2- The AI-powered medical simulation and adaptive examination system mentioned in Claim 1. It is a working method, and its characteristic is; — System startup and 3D model loading upon student login (8), 25 — the student performs the diagnostic tasks given to him / her on the anatomical structures on the screen to bring about the user interacting with the model (9), 16 — cursor movements and hesitations during this interaction are monitored by the user interaction tracking unit. (10), by recording interaction data by (4), — Based on this collected data, visualizing the areas where the student struggles on the 3D model. Creating a heat map (11), — The artificial intelligence and analysis module (5) processes this map with algorithms so that the student can understand the subject. It determines whether or not it understands, and the data is analyzed by artificial intelligence and a decision is made. (12), — If the student is successful as a result of the analysis, the algorithm increases the level to advanced. transition to pathological / clinical scenario (13), — If the student makes a mistake, the system lowers the difficulty level to include basic anatomy and easy 10 options. return to scenarios (14) and — this entire adaptive exam cycle allows for monitoring student progress and class averages. In order to store the results and transfer them to the instructor panel (15), the steps of the process It includes. 3- The AI-powered medical simulation and adaptive examination system mentioned in Claim 1. its feature is; the physiological flow simulator (3) on the anatomical model of nerve conduction by separating its aspects into sensory (afferent) and motor (efferent) aspects, synaptic transmission relationships and neural networks create real-time dynamic light animations through a computational network model. It is characterized by its ability to visualize. 20 4- AI-assisted medical simulation and adaptive therapy as mentioned in Claims 1 and 3. It is an examination system, and its feature is that the physiological flow simulator (3) is controlled by artificial intelligence (5). the determined lesion depends on pathological conditions such as tumor pressure or demyelination (13) as a dynamic signal transmission stream modified in real time on the anatomical model 25 with its ability to cut, slice, and simultaneously simulate clinical findings in the target organ. It is the characterization of the situation. 17 5- The AI-powered medical simulation and adaptive examination system mentioned in Claim 1. Its feature is the user interaction tracking unit (4), the user's cursor on the 3D model. behavioral data such as movements, target selection times, and repeated errors in selection over time by recording the series data and converting it into a heat map (11); the user's cognitive load It is characterized by its ability to visualize the distribution, focal points, and information gaps. 5 6- AI-assisted medical simulation and adaptive therapy as mentioned in Claims 1 and 5. It is an examination system, and its feature is that the artificial intelligence and analysis module (5) is obtained from the heat map (11). By processing the cognitive behavioral indicators obtained, a user-specific "learning performance" the "coefficient" calculation and, based on this coefficient, the difficulty level of clinical scenarios is 10. It is characterized by its dynamic and adaptive updating process. 7- AI-assisted medical simulation and adaptive therapy mentioned in Claim 1. It is an examination system whose characteristic is three-dimensional (3D) visualization. module (2) to accurately perceive the depth and topographic positions of anatomical structures 15 layered visualization, transparency adjustment, and adjacent structure hiding for this purpose. It is characterized by its inclusion of various functions. 8- The AI-powered medical simulation and adaptive examination system mentioned in Claim 1. its feature is that the database and library (6) only show the user's past performance 20 It not only offers a personal memory that archives comparative data, but also on a large scale. By combining training data, artificial intelligence algorithms can improve the system over time. continuous learning data that enables it to improve its performance It is characterized by its ability to create a pool. 9- The AI-powered medical simulation and adaptive examination system mentioned in Claim 1. its feature is that the trainer / administrator panel (7) collects the cumulative data within the library (6). It can generate class-based achievement statistics and corporate Learning Management 18 Student development is integrated with the Learning Management Systems (LMS) via API through the academic curriculum. It is characterized by its ability to match data with other sources. 10- AI-powered medical simulation and adaptive examination system mentioned in Claim 1. and its feature is; any dedicated virtual reality (VR) or high-performance hardware 5 without requiring; thanks to the system's cloud-based architecture, standard web browsers and It is characterized by its accessibility via mobile devices. 11- AI-powered medical simulation and adaptive examination system mentioned in Claim 1. Its feature is that, thanks to the flexible structure of the system modules (2, 3, 4, 5), it can accommodate 10 systems other than the nervous system. physiological and other anatomical systems (cardiovascular, musculoskeletal, digestive, respiratory, etc.) It is characterized by having an infrastructure that can be directly integrated into pathological processes. It is done. 12- The AI-powered system mentioned in Claims 1 and 11, its characteristic feature is that its infrastructure is 15 not limited to anatomical and physiological processes; surgical interventions, pharmacological interactions (drug administrations) and multidisciplinary clinical decision-making processes (internal medicine, neurology, The system should be able to integrate data sets from different medical branches (such as psychiatry, etc.) and these Dynamically simulate the immediate consequences of clinical interventions on biological systems. It is characterized by its ability to do so. 20 13- The AI-powered system mentioned in Claim 1 is characterized by its user interface (1) through anatomical, physiological or scenario-based errors, scientific shortcomings and development It should have an interactive feedback infrastructure that enables the reporting of suggestions and this After the notifications have passed expert approval via the educational / administrator panel (7), the system will 25 permanently to the central database (6), artificial intelligence module (5) and three-dimensional (3D) models crowdsourced validation and continuous updating that enables its integration. It is characterized by the fact that it involves a mechanism.