Patent classifications
G06G7/60
Method and system for patient-specific modeling of blood flow
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
Method and system for patient-specific modeling of blood flow
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
Prediction of diseases based on analysis of medical exam and/or test workflow
Use of medical workflows where a first medical workflow is obtained from a plurality of medical acts performed in sequence that related to care of a patient. A set of condition-indication rules is applied to the first medical workflow to determine first condition information. The first condition information relates to a likelihood that a first medical condition exists in the patient.
Method and system for image processing to determine patient-specific blood flow characteristics
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
Method and system for image processing to determine patient-specific blood flow characteristics
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
Method and system for image processing to determine blood flow
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
Method and system for image processing to determine blood flow
Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
COMPUTATION PROCESSING DEVICE
A computation processing device includes: a memory unit that retains computation data for weighting computation, and at least a part of which is a non-volatile storage region; a computation circuit unit that performs computation processing including the weighting computation by using a part or all of the computation data input from the memory unit; and a power gate unit that blocks power supply to a part or all of memory cells other than memory cells storing a part or all of the computation data input to the computation circuit unit in the computation processing when performing the computation processing, in the non-volatile storage region.
SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICE
A semiconductor device with a novel structure is provided. The semiconductor device includes a cell array performing a product-sum operation of a first layer and a product-sum operation of a second layer in an artificial neural network, a first circuit from which first data is input to the cell array, and a second circuit to which second data is output from the cell array. The cell array includes a plurality of cells. The cell array includes a first region and a second region. In a first period, the first region is supplied with the t-th (t is a natural number greater than or equal to 2) first data from the first circuit and outputs the t-th second data according to the product-sum operation of the first layer to the second circuit. In the first period, the second region is supplied with the (t+1)-th first data from the first circuit and outputs the (t+1)-th second data according to the product-sum operation of the second layer to the first circuit.
SEMICONDUCTOR DEVICE
A novel semiconductor device is provided. In reservoir computing using an input layer, a reservoir layer, and an output layer, variation in threshold voltage between transistors is used as a weight used for product arithmetic processing. Two transistors are provided in one product arithmetic circuit and data u is supplied to gates of the two transistors. Drain current of each of the transistors is determined by the data u and the threshold voltage of the transistor. The difference between the drain currents corresponds to a product arithmetic result. The difference between the drain currents is converted into voltage to be output. A plurality of product arithmetic circuits are connected in parallel to form a product-sum arithmetic circuit.