人工智能辅助非影像专业住院医师核医学PET短期培训探索

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中图分类号：G642.0 文献标志码：A 文章编号：2096-3181（2025）05-0738-06

Exploration of Short-term Nuclear Medicine PET Training for Non-imaging ResidentPhysiciansAssisted byArtificialIntelligence

CHENDonghe，YANG Jun，WENG Wanwen，LU Xili，ZHU Yunqi，ZHANGYafei，ZHANG Jun，ZHAO Kui，SU Xinhui

Department of Nuclear Medicine，the First Affiliated Hospital， Zhejiang University School ofMedicine，Hangzhou 3looO3，China

Abstract： Background With the rapid development of positron emission tomography （PET） technology in Nuclear Medicine，non-imaging residents face significant dificulty in mastering core competencies through short-term standardized training. Consequently，effectively leveraging emerging technologies to enhance training outcomes has become an urgent issue to address.Objective The study aims to evaluate the effectiveness of artificial intelligence （AI）-assisted teaching in enhancing FDG PET/CT image interpretation and clinical decision-making skils for non-imaging residents based on the diagnosis ofFDG PET/CT in lung cancer and staging imaging teaching. Methods A total of 94 non-imaging residents undergoing the standardized trainingat the First Afiliated Hospital of Zhejiang University Schoolof Medicine from June 2O23 to May 2024 were selected and randomly divided into the control group （ n =53，using AI-assisted teaching via the uAI platform）and the observation group（ n=41 ，using traditional teaching mode）.Outcomes were assessed through theoretical assessments，skills evaluation，questionnaires，and satisfaction surveys.Results The observation group achieved significantly higher scores than the control group in both theoretical assessments （24号 （80.5±7.8 VS. 79.4±5.8 ， P<0.05 ）andskills evaluation（ 79.4±5.8 Vs. 76.6±5.5 ，P<0.05）. Satisfaction survey indicated that the satisfaction with the teaching efect was significantly higher in the observation group （90.5% vs. 58.5% ， P<0.05 ），with markedly better total questionnaire scores （ P< 0.0001）.Conclusion AI-assisted teaching effctively enhances PET/CT image interpretation and clinical decision-making skills of non-imaging residents.

Keywords： Artificial intelligence; Non-Imaging residents; Standardized training for Nuclear Medicine residents; PET; Teaching system

住院医师规范化培训（简称住培）是临床核医学教学的重要组成部分，学员包括医学影像学专业（放射科、超声科及核医学科）及非影像学专业学生（心内科、呼吸科、肿瘤科等）。（剩余8707字）