3 results about "Treatment goals" patented technology

A system processes clinical guidance to enhance patient care management. The system receives clinical guidance in digital text form from authoritative medical sources. A large language model analyzes the received clinical guidance to extract key information and relationships. The system generates a structured pathway based on the analyzed clinical guidance. The generated pathway represents a comprehensive summary for a specific disease state, organized into logical steps. These steps encompass treatment goals, management strategies, and measures for preventing complications. The system integrates the generated pathway information into an electronic health record (EHR) system. Within the EHR, the system produces a patient chart incorporating the derived pathway information.

This invention discloses a method and system for guiding sleep disorder treatment using fNIRS, relating to the field of medical technology. The method includes: intelligently sensing a user's pre-sleep state using multimodal sensing devices and initiating full-bandwidth signal acquisition; parallel processing of fNIRS and EEG signals to extract cerebral blood oxygenation characteristics and sleep stage information in real time; generating a quantified, real-time treatment objective function based on the multimodal state through dynamic arbitration; calling a user-specific Gaussian process model and optimization algorithm to calculate and output personalized recommended treatment parameters; driving an execution unit to implement intervention, and collecting post-intervention signals for effect evaluation and model updating, forming a closed-loop adaptive control system of "perception-decision-intervention-learning". This invention solves the problem of existing technologies' difficulty in achieving real-time brain state decoding and precise intervention during natural sleep, improving the personalization and real-time adaptability of treatment.

This invention belongs to the field of brain function-related technology and proposes a non-invasive deep vagus nerve stimulation method and system based on temporal interferometry. The method includes: 3D modeling based on medical images of the patient's neck; simulating the electric field distribution under different electrode spatial layouts using the 3D geometric model of the neck to determine an optimal electrode pair combination library that maximizes the interference field strength in the deep vagus nerve target region; comparing features extracted from the patient's physiological signals with preset treatment goals; dynamically selecting different electrode pair combinations from the optimal electrode pair combination library based on the comparison results; and achieving precise in vivo spatial adjustment of the stimulation focus based on coordinate matching between the 3D geometric model of the neck and real space. This method integrates personalized medical image modeling, computer simulation, dynamic electrode gating, and high spatial registration, solving the pain point of disconnect between planning and execution in the field of neuromodulation.