70 results about "Diagnostic modalities" patented technology

A handheld ultrasound instrument is disclosed having enhanced diagnostic modes including pulse / continuous wave Doppler, time-motion analysis, spectral analysis and tissue harmonic imaging. An external electrocardiograph (ECG) recording unit is also disclosed. The ECG unit is adaptable to be used with the handheld ultrasound instrument to provide for ECG monitoring while performing an ultrasound scan in B-mode, Doppler, color Doppler, M-mode, and CW / PW mode. The enhanced handheld ultrasound instrument further includes a security mechanism allowing any combination of the diagnostic modes to be enabled by the manufacturer, and later to enable or disable any one or group of the diagnostic modes. The invention also discloses a method for a manufacturer to maintain a database of handheld ultrasound instrument capabilities after the instruments enter the stream of commerce.

A device and method in which spectral analysis of heart rate variability is performed in order to assess autonomic balance. When a threshold level is reached, a diagnostic mode is triggered in which the device performs computationally intensive data analysis to assess the probability of a pathological event such as an arrhythmia occurring.

Brain Magnetic Resonance Imaging (MRI), Computerized Tomotography (CT), or other diagnostic modalities may employ a three-step procedure during initial (“scout”) cranial pre-scans that corrects for patient positioning (i.e., roll, yaw and pitch) to reduce inter- and intra-patient variation, thereby enhancing the diagnostic and comparative value of subsequent detail scans even across different diagnostic platforms. In MRI, for instance, locating the saggital sinus (SS) and optimizing a line to bisect the brain through this SS may be automated to correct for roll and yaw. By then identifying the contour of the corpus callosum in a lateral saggital scout scan, the Talairach anterior commissure (AC)—posterior commissure (PC) reference line may be found for correcting pitch. Prescription of detailed scans are improved, especially when the three-step correction is repeated periodically identifying the need to repeat a detailed scan or to adjust the coordinates of a subsequent scan.

Antibodies or fragments thereof having CDR regions replaced or fused with biologically active peptides are described. Flanking sequences may optionally be attached at one or both the carboxy-terminal and amino-terminal ends of the peptide in covalent association with adjacent framework regions. Compositions containing such antibodies or fragments thereof are useful in therapeutic and diagnostic modalities.

Provided is a remote vehicle diagnostic system which utilizes a smart phone as a centralized communication hub between a vehicle and several remote resources. The system includes a program downloadable onto the smart phone to program the phone to perform desired functionality. The smart phone app may allow the smart phone to operate in several different modes, including a diagnostic mode and an emergency mode. In the diagnostic mode, the smart phone may relay vehicle data from the vehicle to a remote diagnostic center. The smart phone may also query the user to obtain symptomatic diagnostic information, which may also be uploaded to the remote diagnostic center. In the emergency mode, the smart phone may be configured to upload critical information to a remote diagnostic center, as well as an emergency response center. The emergency mode may be triggered automatically in response to the vehicle being in an accident, or alternatively, but user actuation.

A method and apparatus for combining therapeutic pulsed or continuous-wave ultrasound with diagnostic pulsed ultrasound are described. In both a therapeutic mode and in a diagnostic mode, the ultrasound is administered from a single probe to a patient suffering from thrombosis. The ultrasound can have the same or different frequency ranges in the diagnostic and therapeutic modes. The pulsed or continuous-wave ultrasound in the therapeutic mode enhances a lysing effect of a thrombolytic agent. The pulsed ultrasound in the diagnostic mode allows monitoring of blood flow to locate a thrombus, to determine an optimal window to administer the therapeutic pulsed ultrasound, and to detect when recanalization has occurred. If an operator attends the device, a graphical display operates during the diagnostic mode to display an image representative of the blood flow.

A method for diagnosing potential faults reflected in operational data for a turbine engine includes the steps of generating a diagnostic pattern for the operational data and comparing the diagnostic pattern with a plurality of historical patterns, to thereby identify one or more likely potential faults reflected in the operational data. The diagnostic pattern comprises a plurality of scalars. Each scalar represents an arithmetic relationship between values of the operational data and values predicted by a baseline thermodynamic model. Each historical pattern is linked to one or more specific faults.

The invention discloses a wireless capsule endoscope small intestine lesion computer auxiliary detection system and method. At present, the technology of the capsule endoscope in the aspect of intelligent lesion identification and accurate positioning is very limited. The data input module is used for acquiring the video data of the wireless capsule endoscope of the patient, and an image of the capsule endoscope is obtained by extracting a video frame technology; the image preprocessing module is used for preprocessing the image of the wireless capsule endoscope, the small intestine image recognition module is used for recognizing and extracting a small intestine image and an image sequence in the preprocessed capsule endoscope image; the small intestine lesion analysis and positioning module is used for identifying and classifying the small intestine lesion and extracting the specific position of the focus; the user interaction module forms an auxiliary diagnosis result according to the small intestine lesion information and the analysis result of the positioning module, and the doctor can confirm, modify or input the medical advice so as to form a diagnosis report. According to the invention, the practical value of the capsule endoscope in clinic is promoted, so that a more efficient and more standard diagnosis mode is formed.

Antibodies or fragments thereof having at least two CDR regions replaced or fused with biologically active peptides are described. Compositions containing such antibodies or fragments thereof are useful in therapeutic and diagnostic modalities.

A system and method is presented for diagnosing problems in a sensor, a vehicle computer and a vehicle sensor wiring harness. The diagnostic system comprises a sensor simulator configured to be selectively coupled to the vehicle computer via a wiring harness during a diagnostic mode, and to eliminate and simulate a known good sensor to the vehicle computer by way of the vehicle sensor wiring harness directly connected therebetween. The system includes an external computer adapted to selectively couple the sensor simulator to the vehicle computer, and a user keypad and memory to receive and store user commands of a selected manufacturer's make, model, year of vehicle, and the function type of the selected sensor, and to enable the user to select or adjust a typical operational value comprising one or more of a voltage, current or resistance operational range values of the selected sensor.

Antibodies or fragments thereof having CDR regions replaced or fused with biologically active peptides are described. Flanking sequences may optionally be attached at one or both the carboxy-terminal and amino-terminal ends of the peptide in covalent association with adjacent framework regions. Compositions containing such antibodies or fragments thereof are useful in therapeutic and diagnostic modalities.

System, method and apparatus for carrying out isometric exercises for either diagnostic purposes or therapeutic purposes. When employed in a diagnostic mode, the instrument is programmed to carry out standardized diagnostic regimens and during such regimens provides both visual and aural cues, carries out mathematical computations of force values and provides recordation of diagnostic data in archival memory. When employed in a therapeutic mode the apparatus may only be programmed within mandated therapeutic parameter limitations. During therapeutic trials, the user is visually and aurally cued throughout the test sequence and the therapeutic data evolved during the regimen is recorded and recoverable from archival memory.

System, method and apparatus for carrying out isometric exercises for either diagnostic purposes or therapeutic purposes. When employed in a diagnostic mode, the instrument is programmed to carry out standardized diagnostic regimens and during such regimens provides both visual and aural cues, carries out mathematical computations of force values and provides recordation of diagnostic data in archival memory. When employed in a therapeutic mode the apparatus may only be programmed within mandated therapeutic parameter limitations. During therapeutic trials, the user is visually and aurally cued throughout the test sequence and the therapeutic data evolved during the regimen is recorded and recoverable from archival memory.

The invention discloses a diagnosis marker suitable for an early-stage esophageal squamous cell cancer diagnosis and a screening method of the diagnosis marker. Twenty five kinds of serum metabolic markers and ten relevant metabolic pathways are discovered; through the combination of the twenty five kinds of serum metabolic markers, the diagnosis marker used for an esophagus cancer diagnosis can be obtained. The screening method of the diagnosis marker has high operability; the diagnosis marker can be used for building a diagnosis model; the diagnosis model has the advantages of good effect, high sensitivity and good specificity, is suitable for a late-stage esophagus cancer diagnosis and is also suitable for the early-stage esophagus cancer diagnosis. The diagnosis model built by adopting the diagnosis marker provided by the invention has the advantages that the diagnosis can be realized only through blood sampling; the noninvasive effect is achieved; the cost is low; the modern internal invasive diagnosis mode can be well replaced; the pain of a patient is greatly reduced; in addition, the diagnosis speed is high; convenience is realized; the required time is short; the work efficiency is improved; the early discovery and early treatment of an esophagus cancer can be favorably realized; good clinic use and popularization value is realized.

Antibodies or fragments thereof having CDR regions replaced or fused with biologically active peptides are described. Flanking sequences may optionally be attached at one or both the carboxy-terminal and amino-terminal ends of the peptide in covalent association with adjacent framework regions. Compositions containing such antibodies or fragments thereof are useful in therapeutic and diagnostic modalities.

Antibodies or fragments thereof having at least two CDR regions replaced or fused with biologically active peptides are described. Compositions containing such antibodies or fragments thereof are useful in therapeutic and diagnostic modalities.

As medical imaging becomes more affordable, and the diversity of diagnostic modalities and therapeutic treatments increase, the amount of data being stored increases, and the problem becomes even more critical. One approach to improve retrieval efficiency of images is to employ semantics to establish a defined set of search and classification terms. However, such semantic systems still require the user to make a selection of the most appropriate term or terms to classify a report or image, and the accuracy of the results are thus dependent on the skill and knowledge of the classifier. According to a first aspect of the invention, a retriever is provided for retrieving a medical image having a searchable attribute, the retriever being configured to interface with a semantic database and an image database, and wherein the searchable attribute is determined by segmenting the medical image, using the anatomical model.

A diagnosis processing device is provided in which diagnosis is realizable by a simple arrangement. A diagnosis processing device (1) of the present invention includes: a learning pattern creating section (10a) for creating a learning pattern by sampling data from a learning image in which abnormality information indicating a substantive feature of abnormality of a target is pre-known; a learning processing section (12) for causing a neural network (17) to learn, by using learning patterns; a diagnostic pattern creating section (10b) for creating a diagnostic pattern by sampling data from a diagnostic image in which abnormality information is unknown; a determination processing section (18) for determining a substantive feature of the abnormality of the target indicated in the abnormality information in the diagnostic image, based on an output value outputted, in response to an input of the diagnostic pattern, from a learned neural network (17) which is a neural network subjected to learning.

A method to initiate a remote diagnostic mode in a network terminal includes determining whether a received signal corresponds to a command to initiate a remote diagnostic mode, and setting the network terminal in a remote diagnostic mode in accordance with the result of the determining. An authentication procedure may be performed prior to setting the network terminal in the remote diagnostic mode, for increased security.

The invention discloses a method for pylorus and ileocecal valve positioning through wireless capsule endoscope images. When a wireless capsule endoscope is used for examination, the starting point and the stopping point of the small intestine are accurately found so that the workload of a doctor for viewing the images can be reduced, and missed diagnosis is reduced. According to the method, a deep learning thought serves as a technical core, a transfer learning strategy is also used, and a convolution neural network algorithm in a deep learning model is used for building an area image classifier; features of the wireless capsule endoscope images are obtained through automatic learning by means of training of the model, and then an area image identification result sequence is analyzed through an area positioning algorithm, so that pylorus and ileocecal valve positioning in the wireless capsule endoscope images is achieved. The method makes up for the blank of an existing capsule endoscope in the field of intelligent identification and accurate positioning, the working intensity of a doctor is greatly reduced, the working efficiency and the diagnosis rate are improved, the practicalvalue of the capsule endoscope in the clinical diagnosis of digestive tract diseases is further promoted, and a more efficient and more standard diagnosis mode is formed.

A method for forming a sequence of images of a subject obtains at least first and second image sets of the subject, each image set having a given angular displacement relative to an axis of rotation of the subject, each image set having at least a first component image of a first diagnostic modality at the given angular displacement and a second component image that is co-registered to the first component image at the given angular displacement. The first image set is selected as the selected image set for display. A synthesized image is formed by combining image data for the at least first and second component images of the selected image set and the synthesized image is displayed.

A system for diagnosis and treatment of breathing disorders in a patient, comprises a flow generator supplying an air flow to an airway of a patient via a flow path, a venting arrangement moveable between (i) a closed position in which the flow path is substantially sealed between the flow generator and the patient's airway and (ii) an open position in which the flow path is open to an ambient atmosphere, a sensor detecting data corresponding to flow through the patient's airway, and a processing arrangement controlling operation of the venting arrangement and the flow generator, wherein, in a diagnostic mode, the processing arrangement maintains the venting arrangement in the open position and in a therapeutic mode, the processing arrangement maintains the venting arrangement in the closed position and controls the flow generator to supply to the patient's airway via the flow path a calculated therapeutic pressure.

A method for analysing medical data in view of a specific clinical question, the method including the steps of a) providing one or several medical datasets having data acquired by means of one or several diagnostic modalities from one patient; b) providing a clinical question to be answered by the medical dataset(s); c) selecting one or several evaluation methods which are generally suitable for returning relevant information with regard to the clinical question; and d) automatically analysing the medical dataset(s) with regard to their suitability to be used for the one or several evaluation methods and calculating corresponding quality factors for each pair of medical dataset and evaluation method.

The invention discloses a bi-clustering mining and AdaBoost-based tumor classification method. The method comprises the following steps of: firstly selecting digitalized scoring data of tumor lesion features to construct an original data set, screening features effective for distinguishing benign and malignant tumors from original features according to feature statistic information, mining important tumor diagnosis modes hidden behind the feature scoring data from the feature scoring data by utilizing a bi-clustering algorithm, and determining benign and malignant attributes of the diagnosis modes by adoption of support rate indexes according to benign and malignant priori knowledges, so as to convert locally consistent modes into effective diagnosis rules; constructing a simple weak classifier which is capable of carrying out classification in different feature spaces by adoption of a method of pairwise coupling benign and malignant rules, wherein the weak classifier takes similarity of matching between test samples and the benign and malignant rules as a classification rule; and finally training a high-correctness strong classifier from the weak classifier by adoption of an AdaBoost integration algorithm. The method plays an important role in improving the clinical diagnosis correctness of tumors.

As medical imaging becomes more affordable, and the diversity of diagnostic modalities and therapeutic treatments increase, the amount of data being stored increases, and the problem becomes even more critical. One approach to improve retrieval efficiency of images is to employ semantics to establish a defined set of search and classification terms. However, such semantic systems still require the user to make a selection of the most appropriate term or terms to classify a report or image, and the accuracy of the results are thus dependent on the skill and knowledge of the classifier. According to a first aspect of the invention, a retriever is provided for retrieving a medical image having a searchable attribute, the retriever being configured to interface with a semantic database and an image database, and wherein the searchable attribute is determined by segmenting the medical image, using the anatomical model.

The application embodiment provides a vehicle diagnosis method, a diagnosis terminal and a diagnosis box; the vehicle diagnosis method comprises the following steps: the diagnosis terminal determinesa diagnosis type to which a to-be-diagnosed vehicle belongs according to a received diagnosis command, and further determines a target diagnosis mode of the needed diagnosis box according to the diagnosis type when the to-be-diagnosed vehicle is diagnosed; the diagnosis terminal obtains the present diagnosis mode of the diagnosis box; if said two diagnosis modes are different, the diagnosis terminal sends a diagnosis mode switching command to the diagnosis box so as to remind the diagnosis box to switch the target diagnosis mode, thus enabling the diagnosis terminal to diagnose the to-be-diagnosed vehicle via the diagnosis box working in the target diagnosis mode. The method integrates the diagnosis box that supports new model diagnosis standards and old model diagnosis standards with diagnosis software, thus automatically selecting a proper diagnosis mode according to the to-be-diagnosed vehicle model, preventing frequently switching of the diagnosis modes and diagnosis software of the diagnosis box, and improving the diagnosis efficiency.