Training method and system for dynamic three-dimensional ultrasound contrast of uterine fallopian tube

Through artificial intelligence screening of patient groups with pathological characteristics, virtual reality modeling and deep learning analysis, the systematic and objective problems of ultrasound examination training have been solved, efficient and intelligent training methods have been implemented, and the skill level of medical staff has been improved.

CN120656350AInactive Publication Date: 2025-09-16HANGZHOU TRADITIONAL CHINESE MEDICINE HOSPITAL (HANGZHOU TRADITIONAL CHINESE MEDICINE HOSPITAL AFFILIATED TO ZHEJIANG UNIV OF TRADITIONAL CHINESE MEDICINE)
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Patent Information

Application Number
CN202510760093.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-09
Publication Date
2025-09-16
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing ultrasound examination training methods lack systematicity and objectivity, and are unable to meet the high requirements of modern medicine for professional skills and practical ability. Traditional training relies on limited case data and simulation models and cannot fully combine actual operations and clinical pathological characteristics.

Method used

Artificial intelligence algorithms are used to screen patient groups with specific pathological characteristics, generate a training case library, combine virtual reality technology for dynamic three-dimensional modeling, and use deep learning algorithms to analyze operating techniques and image quality in real time, and automatically generate training feedback reports.

Benefits of technology

It has achieved high efficiency, systematicness and intelligence in ultrasound training, improved the skill level of medical imaging professionals, provided real operation scenarios and instant feedback, and improved the accuracy and effectiveness of training.

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Abstract

The invention discloses a uterine fallopian tube dynamic three-dimensional ultrasound contrast training method and system, and the method comprises the steps: carrying out the intelligent analysis of data through an artificial intelligence algorithm according to the clinical data and historical diseases of a patient, screening out a patient group with specific pathological features, and generating a corresponding training case library; according to the training case library, performing dynamic simulation on the anatomical structures of the uterus and the fallopian tube by applying a three-dimensional modeling technology based on a virtual reality technology; the dynamic ultrasonic image and the deep learning algorithm are combined, the ultrasonic operation technique and image quality of trainees are analyzed in real time, a training feedback report is automatically generated, operation steps needing to be improved and corresponding technical key points are pointed out, and corresponding technical guidance is provided. According to the embodiment of the invention, high efficiency, systematicness and intelligence of ultrasonic training can be realized, and powerful support is provided for improving the skill level of medical image professionals.
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