Center for Digital Health-Data & Analytics, Mayo Clinic, Rochester, Minnesota, USA.
Dermatol Online J. 2023 Apr 15;29(2). doi: 10.5070/D329260766.
Artificial intelligence (AI) and machine learning (ML) have occupied the center stage in healthcare as research groups and institutions investigate their capabilities and risks. Dermatology is often cited as one of the medical specialties most ripe for disruption with AI technology due to the heavy incorporation of visual information into clinical decisions and treatments. Although the literature on AI in dermatology is rapidly growing, there has been a noticeable absence of mature AI solutions utilized by dermatology departments or patients. This commentary provides insight into the regulatory challenges facing AI solutions for the specialty of dermatology and the unique considerations that should be factored into AI development and deployment.
人工智能 (AI) 和机器学习 (ML) 在医疗保健领域占据了中心舞台,研究团队和机构正在研究它们的能力和风险。由于临床决策和治疗中大量纳入了视觉信息,皮肤科常被认为是最适合人工智能技术颠覆的医学专业之一。尽管皮肤科人工智能领域的文献正在迅速增加,但皮肤科部门或患者使用的成熟人工智能解决方案却明显缺乏。本文述评深入探讨了皮肤科人工智能解决方案所面临的监管挑战,以及在人工智能开发和部署中应考虑的独特因素。