人工智能在胃肠病学中的应用所面临的挑战:比赛开始了!
Chrysanthos D Christou1,2, Georgios Tsoulfas1,3
1Department of Transplantation Surgery, Hippokration General Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki 54622, Greece.
World journal of gastroenterology
|January 8, 2024
概括
人工智能 (AI) 和机器学习 (ML) 为胃肠病学提供了强大的工具,有助于诊断,治疗和预后. 然而,为了广泛采用,必须解决准确性,成本和解释性方面的挑战.
科学领域:
- 胃肠病学 胃肠病学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 胃肠道学产生了广泛的数据,适用于AI和ML应用.
- 人工智能和机器学习软件越来越多地被开发用于各种胃肠道学用途.
研究的目的:
- 审查AI/ML在胃肠病学中的当前应用.
- 讨论阻碍在胃肠病学中采用AI/ML的挑战.
- 要突出医生在人工智能时代不断变化的作用.
主要方法:
- 审查当前的AI/ML应用在胃肠病学.
- 讨论包括准确性,成本,网络安全,可解释性,监督和责任在内的挑战.
- 分析人工智能对医生技能集的影响.
主要成果:
- 人工智能/ML模型是为实时风险标记,非侵入性诊断,基因组数据分析,内镜图像解释,治疗分配和预后预测而开发的.
- 关键的挑战包括准确性,成本效益,数据安全性,模型可解释性和监管监督.
- 人工智能预计将改变,而不是取代医生的角色,需要新的技能.
结论:
- 人工智能/ML对推进胃肠病学具有重大前景.
- 解决实施挑战对于实现AI在医疗保健中的全部潜力至关重要.
- 医生必须适应并与AI互动,以保持相关性和有效性.
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