Computer modeling of interactions between and among cortico and subcortical areas of the human brain predicts the effect of drugs in psychiatric and cognitive diseases on one or more clinical scales. Diseases that can be modeled include psychiatric disorders, such as schizophrenia, bipolar disorder, major depression, ADHD, autism, obsessive-compulsive disorder, substance abuse and cognitive deficits therein and neurological disorders such as Alzheimer's disease, Mild Cognitive impairment, Parkinson's disease, stroke, vascular dementia, Huntington's disease, epilepsy and Down syndrome. The computer model preferably uses the biological state of interactions between and among cortico and subcortical areas of the human brain, to define the biological processes related to the biological state of the generic synapse model, the striatum, Locus Coeruleus, Dorsal raphe, hippocampus, amygdala and cortex, as well as certain mathematical relationships related to interactions among biological variables associated with the biological processes.

System and method for developing a treatment plan for achieving a treatment goal including creating a virtual model of a dental patient's dentition; transforming the virtual model of the dentition using virtual prosthodontics to facilitate achievement of the treatment goal; transforming the virtual model of the dentition using virtual orthodontics to facilitate achievement of the treatment goal; iterating on the transforming steps until substantially achieving the treatment goal; and generating an orthodontic treatment plan and a prosthodontic treatment plan based upon the substantially achieved treatment goal

A medical image processing apparatus includes a unit configured to analyze a target medical image, a unit configured to register information representing an aptitude of each doctor with respect to interpretation of a specific lesion and a modality used by each doctor, and a unit configured to, when the analysis result includes information associated with a lesion, decide an assigned doctor based on information representing the aptitude of each doctor with respect to interpretation of the specific lesion, and, when the analysis result includes no information associated with a lesion, decide an assigned doctor based on the modality.

A system for preparing patient-specific compounded medication doses is disclosed. The system includes a computerized medication compounding workstation configured to receive a patient-specific compounded medication dose order over a network and retrieve an electronically stored protocol having a set of steps to prepare a patient-specific compounded medication dose specified by the patient-specific compounded medication dose order. The example workstation is also configured to display, on a graphical user interface to a pharmacy operator, information related to the set of steps for preparing the patient-specific compounded medication dose and receive input related to the preparation of the patient-specific compounded medication dose including at least medication information scanned from at least one source medication container and a digital image from a digital camera. The workstation verifies completion for each step before allowing the pharmacy operator to move to a next step to prepare the patient-specific compounded medication dose.

Methods for improving clinical diagnostic tests are provided, along with associated diagnostic techniques.

Methods for facilitating safe use of a medical item are provided. In one aspect, a method includes receiving a first identifier for a medical entity located in an institution. The medical entity includes at least one of a patient, medical device, medical location, or medical item. The method also includes receiving a second identifier for a first course of action associated with the medical entity. The method further includes generating, based on a history of the medical entity and the first course of action associated with the medical entity, a second course of action for the medical entity, and providing a notification to a device indicating the second course of action. Systems and machine-readable media are also provided.

A computer implemented method, system and computer programs for assessing the behavioral performance of a user. The method includes a) receiving data regarding behavioral information of a user and relating to a first or a second period of time; b) obtaining a user typical behavioral model and a user temporary behavioral model and c) comparing them providing a user behavior deviation; d) selecting a group of individuals for a comparison with the user; e) performing for the individuals steps a) to c) in the same first and second periods of time, and processing the data of the individuals providing a group typical behavioral model (RGR1), a group temporary behavioral model (RGT1) and a group behavioral deviation; f) performing a comparison between the user deviation and the user temporary model with the group deviation an the group temporary model, and using the result to assess the behavioral performance of the user.

A method for managing wireless devices in a wireless medical body area network, MBAN, comprises configuring the wireless MBAN based on all wireless devices of the MBAN comprising at least one sensor and at least one hub, by sharing identification data, battery status, and communication performance between wireless devices of the wireless MBAN; providing a plurality of the wireless devices with at least short range communication and long range communication; and configuring a first wireless device of the wireless MBAN as a master depending on battery status and communication performance. Thereafter, the method comprises configuring a second wireless device of the wireless MBAN as a new master if the battery status and communication performance of the master drops below that of the second wireless device; and routing data transfer within the wireless MBAN depending on the battery status and communication performance of the wireless devices of the wireless MBAN.

The present application describes a system (100) and method for detecting and labeling structures of interest. The system includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706). The system also includes an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718), and a display device (108) configured to display findings from the current patient study. The anatomical structure detection and labeling engine (718) is configured to identify and label one or more structures of interest (716) from the extracted metadata and clinical context information (706). The processor (112) is also configured to aggregate series level data. The method detects, label and prioritize anatomical structures (710). Specifically, once patient information is received from the current patient study (108), the labeled anatomical structures (710) and the high risk anatomical structures (714) are combined to form an optimized prioritized list of structures of interest (716).

The invention relates to a method for providing a medical information of a vehicle occupant of a motor vehicle and/or of a medical device of the vehicle occupant, in which a signal comprising the medical information is transferred wirelessly to equipment arranged in the motor vehicle, wherein the medical information is transmitted wirelessly from the equipment to the apparatus external to the motor vehicle.