人工智能重塑外科学范式的实践与创新OA

Artificial intelligence(AI)is driving a profound transformation in the paradigm of surgery.Before the operation,AI promotes decision-making from intuitive experience to data-driven through deepening imaging diagnosis,empowering imaging-based predictive analytics,and providing dynamic interactive surgical planning.During the operation,AI serves as real-time assistance,enhancing surgeons' perception,operation,and decision-making capabilities in areas such as computer vision navigation,surgical process analysis,robotic intelligence,and intraoperative rapid diagnosis.Post-operatively,AI prediction models based on continuous data streams can achieve early warning and proactive prevention of complications and empower home-based rehabilitation.Additionally,AI is transforming the surgical education model through objective skill assessment,knowledge empowerment by large language models,and high-fidelity simulation.However,the clinical translation of AI still faces core challenges such as insufficient clinical research evidence,data and algorithm bottlenecks,difficulties in system integration,and the need for improved ethical and legal regulatory frameworks.Future trends will involve building surgical foundation models,developing patient digital twins,and constructing human-machine integrated intelligent operating rooms,ultimately reshaping clinical surgery from"artisanal craftsmanship"to"intelligent science".