• Zhen Ling Teo, Ann Kwee, John Cw Lim, Carolyn Sp Lam, Dean Ho, Sebastian Maurer-Stroh, Yi Su, Simon Chesterman, Tsuhan Chen, Chorh Chuan Tan, Tien Yin Wong, Kee Yuan Ngiam, Cher Heng Tan, Danny Soon, May Ling Choong, Raymond Chua, Sutowo Wong, Colin Lim, Wei Yang Cheong, and Daniel Sw Ting.
• Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
• Ann Acad Med Singap. 2023 Apr 27; 52 (4): 199212199-212.

AbstractArtificial 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.

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