Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

An improved endoscopic device which is introduced into the intestinal tract of a living organism and which operates autonomously therein, adapted to obtain and store or transmit one or more types of data such as visual image data, laser autofluorescence data, or ultrasonic waveform data. In another aspect of the invention, an improved endoscopic device useful for implanting the aforementioned endoscopic smart probe is disclosed. In another aspect of the invention, apparatus for delivering agents including nanostructures, radionuclides, medication, and ligands is disclosed. In another aspect of the invention, apparatus for obtaining a biopsy of intestinal tissue is disclosed. In another aspect of the invention, apparatus for detecting the presence of one or more molecular species within the intestine is disclosed. Methods for inspecting and/or treating the interior regions of the intestinal tract using the aforementioned apparatus are also disclosed.

Endoscopic smart probe and method

Magnetic resonance imaging apparatus

Systems and methods for monitoring various physiological and environmental factors, as well as systems and methods for using this information for a plurality of useful purposes, are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed. This information is then used to support a variety of useful methods, such as clinical trials, marketing studies, biofeedback, entertainment, and others.

Physiological and environmental monitoring systems and methods

Alzheimer's disease (AD) is associated with neurodegeneration in vulnerable limbic and heteromodal regions of the cerebral cortex, detectable in vivo using magnetic resonance imaging. It is not clear whether abnormalities of cortical anatomy in AD can be reliably measured across different subject samples, how closely they track symptoms, and whether they are detectable prior to symptoms. An exploratory map of cortical thinning in mild AD was used to define regions of interest that were applied in a hypothesis-driven fashion to other subject samples. Results demonstrate a reliably quantifiable in vivo signature of abnormal cortical anatomy in AD, which parallels known regional vulnerability to AD neuropathology. Thinning in vulnerable cortical regions relates to symptom severity even in the earliest stages of clinical symptoms. Furthermore, subtle thinning is present in asymptomatic older controls with brain amyloid binding as detected with amyloid imaging. The reliability and clinical validity of AD-related cortical thinning suggests potential utility as an imaging biomarker. This “disease signature” approach to cortical morphometry, in which disease effects are mapped across the cortical mantle and then used to define ROIs for hypothesis-driven analyses, may provide a powerful methodological framework for studies of neuropsychiatric diseases.

The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals

A technique is provided for enhancing performance of computer-assisted data operating algorithms in a medical context. Datasets are compiled and accessed, which may include data from a wide range of resources, including controllable and prescribable resources, such as imaging systems. The datasets are analyzed by a human expert or medical professional, and the algorithms are modified based upon feedback from the human expert or professional. Modifications may be made to a wide range of algorithms and based upon a wide range of data, such as available from an integrated knowledge base. Modifications may be made in sub-modules of the algorithms providing enhanced functionality. Modifications may also be made on various bases, including patient-specific changes, population-specific changes, feature-specific changes, and so forth.

Computer-assisted data processing system and method incorporating automated learning

A technique is provided for enhancing performance of a computer-assisted data operating algorithm (22; 462-478). Data from a controllable and prescribable resource (40) for medical data is accessed and analyzed in accordance with a specified operating algorithm. An operating algorithm, either the same or a different algorithm, is then modified based upon the analysis. The algorithm may operate on data from different resource types or modalities. Modifications may be made (496) which affect various sub-modules of the modified algorithms. The modifications may be made on a global basis, a population-specific bases, a patient-specific bases, and so forth.

Enhanced computer-assisted medical data processing system and method

Access, analysis and processing medical-related data in an integrated knowledge base is initiated by one of a plurality of initiating events, such as a user query, the occurrence of a medical event, a change of state of data within the knowledge base, and a system-generated initiating event, such as based upon attaining various triggering levels or expiration of. The integrated knowledge base may be physically located in quite disparate locations, and processing strings may occur on one or more computer system. The triggering events begin specific processing based upon algorithms which can respond to the specific triggering event, or can analyze data in manners not necessarily requested by the triggering event. The technique thus permits analysis of a wide range of medical-related data for user-related purposes, patient-related purposes, as well as to identify and discover particular medical care needs or relationships between data to enhance diagnosis, treatment, institutional performance, and so forth.

Medical data processing system and method

A technique is provided for offering feedback, including feedback for patient care and for training purposes for medical professionals and human operators. The technique includes accessing data, such as image data, for evaluation by a human operator. The data is then analyzed via a computer-assisted data operating algorithm, and the analysis may further include analysis of supplemental data accessed from an integrated knowledge base. Based upon the analysis feedback is provided to the operator, such as for completing or complementing the evaluation, correcting analysis by the human operator, or otherwise informing the human operator of similarities or differences between the analyses.

Data processing and feedback method and system

A method, system, and storage medium for computer aided processing of an image set includes employing a data source, the data source including an image set acquired from X-ray projection imaging, x-ray computed tomography, or x-ray tomosynthesis, defining a region of interest within one or more images from the image set, extracting feature measures from the region of interest, and reporting at least one of the feature measures on the region of interest. The method may be employed for identifying bone fractures, disease, obstruction, or any other medical condition.

Gopal B. Avinash

Papers

Computer-assisted data processing system and method incorporating automated learning

Enhanced computer-assisted medical data processing system and method

Medical data processing system and method

Data processing and feedback method and system

Computer aided diagnosis of an image set