4 results about "Diagnostic quality" patented technology

This invention discloses an automatic cardiac ultrasound recording system and method with anti-distortion capabilities. The method includes: acquiring synchronized cardiac ultrasound image frames and probe motion state data; extracting explicit anatomical quality features and implicit spatiotemporal fusion features; generating predicted spatiotemporal features based on historical implicit features; obtaining a section quality deviation index by combining acoustic coupling quality indices; dynamically determining stable and distortion boundaries based on the deviation index within a sliding window; classifying the current frame as stable, transitional, or distorted; recording when the frame is stable and the phase meets the conditions; recording when the frame is transitional and the predicted and current features are adaptively fused and compensated based on observational uncertainty; and pausing recording and providing attribution prompts when the frame is distorted. This invention achieves precise decoupling of probe motion and cardiac motion through IMU and image fusion, and employs a dynamic threshold and residual calibration mechanism to effectively improve the continuity and diagnostic quality of automatic recording, making it suitable for intelligent control of cardiac ultrasound examinations.

This invention provides a method for preventing disconnection of a wireless handheld ultrasound device. The wireless handheld ultrasound device's ultrasound signal imaging process within a work cycle includes at least a first-type task phase. The method includes: Step S1, real-time monitoring of the wireless communication activity of the wireless communication module of the wireless handheld ultrasound device and acquisition of multiple communication timing information within the work cycle; Step S2, comparing the work timing information of the first-type task phase in the current work cycle with the communication timing information, and adjusting the work cycle when conflicts arise between the work timing information and the communication timing information. By adjusting the timing of highly interfering tasks, the timing of ultrasound imaging and communication timing are prevented from interfering with each other, resulting in a stable uploaded image frame rate, improved user experience, and enhanced diagnostic quality.

The invention relates to the technical field of physiological signal diagnosis, and discloses a real-time monitoring and judging system for sleep period arrhythmia, which comprises a sensor for synchronously acquiring physiological signals and motion signals and a processor, and is characterized in that the motion signals are used for carrying out first gating to eliminate motion pollution; calculating a signal quality index of the resting data segment through a signal quality calculation module, and dynamically setting a diagnostic quality threshold value for second gating by using a reference signal captured by a dynamic self-calibration module in a motion-resting conversion event; finally, the arrhythmia judgment module only executes arrhythmia judgment on the data segments passing through double gating, the system avoids double interference of motion artifacts and low-quality signals in a resting state through serial double gating, a unique dynamic self-calibration mechanism of the system translates the motion interference into an individualized calibration beacon, and the accuracy of the system is improved. Therefore, the problem that the static threshold loses efficacy due to individual differences is solved, and the diagnosis reliability is ensured.

The present application relates to a biliary tract cancer prediction method and system based on iterative self-consistency and large model verification, relating to the field of artificial intelligence, comprising obtaining electronic medical record text data of a patient to be predicted; the present application inputs a prompt word sequence into a current base large language model to generate an independent reasoning path set, adopts a majority voting mechanism to select positive samples and negative samples, constructs candidate data pairs, introduces a verification large language model to verify the medical logic rationality of the positive samples, guarantees the diagnosis quality through a double mechanism, improves the accuracy and reliability of the diagnosis reasoning, supervises and fine-tunes the current base large language model, optimizes a comparison loss function to obtain an updated base large language model, realizes continuous iterative optimization of the diagnosis logic, inputs the structured prompt word sequence of a new patient to be diagnosed into the final base large language model, generates an optimal reasoning path and a diagnosis conclusion, and outputs a thought chain reasoning result containing medical logic.