Wei Maria L, Tada Mikio, So Alexandra, Torres Rodrigo
Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States.
Dermatology Service, San Francisco VA Health Care System, San Francisco, CA, United States.
Front Med (Lausanne). 2024 Mar 19;11:1331895. doi: 10.3389/fmed.2024.1331895. eCollection 2024.
Artificial intelligence is poised to rapidly reshape many fields, including that of skin cancer screening and diagnosis, both as a disruptive and assistive technology. Together with the collection and availability of large medical data sets, artificial intelligence will become a powerful tool that can be leveraged by physicians in their diagnoses and treatment plans for patients. This comprehensive review focuses on current progress toward AI applications for patients, primary care providers, dermatologists, and dermatopathologists, explores the diverse applications of image and molecular processing for skin cancer, and highlights AI's potential for patient self-screening and improving diagnostic accuracy for non-dermatologists. We additionally delve into the challenges and barriers to clinical implementation, paths forward for implementation and areas of active research.
人工智能有望迅速重塑许多领域,包括皮肤癌筛查和诊断领域,它既是一种颠覆性技术,也是一种辅助技术。随着大型医疗数据集的收集和可得性,人工智能将成为一种强大的工具,可供医生在对患者的诊断和治疗计划中加以利用。这篇全面综述聚焦于人工智能在为患者、初级保健提供者、皮肤科医生和皮肤病理学家应用方面的当前进展,探讨图像和分子处理在皮肤癌方面的多样应用,并强调人工智能在患者自我筛查以及提高非皮肤科医生诊断准确性方面的潜力。我们还深入研究了临床实施的挑战和障碍、实施的前进道路以及活跃的研究领域。