在医疗材料中绘制人工智能的演变图
Sha Huang1, Yang Jin2, Xinting Hou3
1Department of Thoracic Surgery, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou 310016, China.
ACS omega
|September 29, 2025
概括
医疗材料研究中的人工智能 (AI) 正在快速增长,特别是自2018年以来,由于深度学习的进步. 关键的挑战包括临床验证和精确的制造人工智能支持的医疗材料.
科学领域:
- 医疗材料科学科学 医疗材料科学
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 在医疗材料中的应用,包括组合,设计和制造,正在扩大.
- 缺乏对医疗材料人工智能研究领域的全面概述.
研究的目的:
- 进行人工智能在医疗材料研究中的文献分析.
- 确定这一跨学科领域的趋势,关键挑战和未来研究方向.
主要方法:
- 对108个出版物的图书统计分析.
- 数据来源于科学网络核心集合数据库.
- 分析出版趋势和研究挑战.
主要成果:
- 对医疗材料人工智能的研究已经持续了近二十年.
- 自2018年以来,出版物显著增加,这可能是由深度学习推动的.
- 确定的挑战:临床验证,新设计和精确制造.
结论:
- 医疗材料中人工智能的领域是动态的,并且正在迅速发展.
- 深度学习的进步是最近研究增长的可能驱动力.
- 解决验证,设计和制造方面的挑战对于未来的AI支持的医疗材料开发至关重要.
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