Artificial intelligence innovation in healthcare: Relevance of reporting guidelines for clinical translation from bench to bedside.
Ann Acad Med Singap
; 52(4): 199-212, 2023 Apr 27.
Article
in En
| MEDLINE
| ID: mdl-38904533
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Translational Research, Biomedical
Limits:
Humans
Language:
En
Journal:
Ann Acad Med Singap
/
Ann. Acad. Med. Singap. (Online)
/
Annals, Academy of Medicine, Singapore (Online)
Year:
2023
Document type:
Article
Affiliation country:
Country of publication: