工作流程
相关性(法律)
知情同意
生殖医学
素数(序理论)
辅助生殖技术
过程(计算)
计算机科学
心理学
人工智能
医学
不育
生物
替代医学
政治学
法学
怀孕
病理
组合数学
操作系统
数据库
遗传学
数学
标识
DOI:10.1016/j.fertnstert.2023.05.146
摘要
Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. These artificial intelligence-based tools have relevance to assisted reproductive technologies with opportunities to impact informed consent, day-to-day management of ovarian stimulation, oocyte and embryo selection, and workflow. However, implementation must be an informed, cautious, and circumspect process to maximize outcomes and improve the clinical experience for patients and providers alike.
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