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Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside.
- Source :
-
Annals of the Academy of Medicine, Singapore [Ann Acad Med Singap] 2023 Apr 27; Vol. 52 (4), pp. 199-212. Date of Electronic Publication: 2023 Apr 27. - Publication Year :
- 2023
-
Abstract
- 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.<br />Competing Interests: Dr Daniel SW Ting holds a patent on a deep learning system for detection of retinal diseases, co-founded and holds equity of EyRIS Singapore. Dr Carolyn SP Lam holds a patent on a deep learning system for detection of cardiac disease, co-founded and holds equity in Us2.ai. Dr Dean Ho is scientific co-founder and shareholder of KYAN Therapeutics. He is also a co-inventor of pending patents pertaining to AI-based drug development and personalised medicine.
Details
- Language :
- English
- ISSN :
- 2972-4066
- Volume :
- 52
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Annals of the Academy of Medicine, Singapore
- Publication Type :
- Academic Journal
- Accession number :
- 38904533
- Full Text :
- https://doi.org/10.47102/annals-acadmedsg.2022452