Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Department of Endocrinology, Singapore General Hospital, Singapore.
Ann Acad Med Singap. 2023 Apr 27;52(4):199-212. doi: 10.47102/annals-acadmedsg.2022452.
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such as machine learning in image analysis, natural language processing in medical chatbots and electronic medical record extraction have the potential to improve screening, diagnostics and prognostication, leading to precision medicine and preventive health. However, it is crucial to ensure that AI research is conducted with scientific rigour to facilitate clinical implementation. Therefore, reporting guidelines have been developed to standardise and streamline the development and validation of AI technologies in health. This commentary proposes a structured approach to utilise these reporting guidelines for the translation of promising AI techniques from research and development into clinical translation, and eventual widespread implementation from bench to bedside.
人工智能（AI）和数字创新正在改变医疗保健行业。例如，图像分析中的机器学习、医疗聊天机器人中的自然语言处理以及电子病历提取等技术，具有改善筛查、诊断和预后的潜力，从而实现精准医疗和预防保健。然而，至关重要的是，要确保人工智能研究具有科学严谨性，以促进临床应用。因此，已经制定了报告指南，以规范和简化人工智能技术在健康领域的开发和验证。本评论提出了一种结构化方法，用于利用这些报告指南，将有前途的人工智能技术从研究和开发转化为临床转化，并最终从实验室广泛应用于临床。
