| 引用本文： |
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周 翔,王培军.中国医学影像人工智能发展现状及展望[J].同济大学学报（医学版）,2025,46(1):1-7. [点击复制]
- ZHOU Xiang,WANG Peijun.Current development status and prospects of artificial intelligence in medical imaging in China[J].Journal of Tongji University(Medical Science),2025,46(1):1-7. [点击复制]
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| 摘要: |
| 随着人工智能(artificial intelligence, AI)技术的飞速发展，医学影像与AI的结合正推动医疗领域的深刻变革。本文梳理了中国医学影像AI的最新进展，并从政策引导、数据支撑、模型创新以及临床应用等方面进行深入分析，同时探讨了未来发展趋势。未来医学影像AI的发展将聚焦于复合型人才的培养、伦理法规的完善和新技术的突破，以推动医学影像AI在疾病诊疗中的更广泛应用。 |
| 关键词: 医学影像 人工智能 数据库 算法 模型 |
| DOI：10.12289/j.issn.2097-4345.24530 |
| 通信作者: |
| 投稿时间：2024-11-30 |
| 录用日期：2025-01-15 |
| 基金项目:国家自然科学基金国家重大科研仪器研制项目(82227807)；国家自然科学基金(82102023)；上海市卫生健康委员会新兴交叉领域研究专项(2022JC017) |
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| Current development status and prospects of artificial intelligence in medical imaging in China |
| ZHOU Xiang,WANG Peijun |
| (Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China) |
| Abstract: |
| With the rapid advancement of artificial intelligence(AI) technology, the integration of medical imaging and AI is driving profound changes in the healthcare field. This article reviews the latest progress of AI in medical imaging in China, and conducts an in-depth analysis from four key dimensions: policy guidance, data support, model innovation, and clinical application. It also explores future development trends. The future development of AI in medical imaging will focus on the cultivation of interdisciplinary talents, the improvement of ethical regulations, and breakthroughs in new AI technologies, aiming to promote the broader application of AI in medical imaging for disease diagnosis and treatment. |
| Key words: medical imaging artificial intelligence database algorithm model |
