Motivated by the advancement of large language models,multiagent technology,and digital twins,digital skeletons are bringing new development opportunities in orthopedics.Data-driven deep learning(DL)network models can...Motivated by the advancement of large language models,multiagent technology,and digital twins,digital skeletons are bringing new development opportunities in orthopedics.Data-driven deep learning(DL)network models can effectively learn medical feature representations from multimodal and cross-scale datasets to accurately identify orthopedic diseases,making the most of the vast amount of medical imaging data and records collected over the years.Digital skeleton technology can be boosted by artificial intelligence(AI)to quickly and accurately identify common diseases and investigate the most difficult problems as researchers continue to integrate a wide range of DL techniques into orthopedic applications.展开更多
基金supported in part by the National Natural Science Foundation of China(82371957 and 82371956)the National Key R&D Program of China(2021YFC2501703 and 2021YFC2501701)+3 种基金Capital’s Funds for Health Improvement and Research(2024-1-1121)Beijing Municipal Public Welfare Development and Reform Pilot Project for Medical Research Institutes(JYY2023-11 and JYY2023-8)Beijing Physician Scientist Training Project(BJPSTP-2024-08)Beijing Municipal Health Commission(BJRITO-RDP-2025).
文摘Motivated by the advancement of large language models,multiagent technology,and digital twins,digital skeletons are bringing new development opportunities in orthopedics.Data-driven deep learning(DL)network models can effectively learn medical feature representations from multimodal and cross-scale datasets to accurately identify orthopedic diseases,making the most of the vast amount of medical imaging data and records collected over the years.Digital skeleton technology can be boosted by artificial intelligence(AI)to quickly and accurately identify common diseases and investigate the most difficult problems as researchers continue to integrate a wide range of DL techniques into orthopedic applications.
