A few days ago we published the editorial for the latest issues of the Nepal Journal of Epidemiology. This editorial under the title ‘Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain‘ [1] comments that current methodologies for ensuring AI (Artificial Intelligence) technology’s safety and efficacy may be adequate for earlier AI iterations predating generative artificial intelligence (GAI). However, better clinical gouvernance GAI may necessitate the development of novel regulatory frameworks. As AI technology advances, researchers, academic institutions, funding bodies, and publishers should continue to examine its impact on scientific inquiry and revise their understanding, ethical guidelines, and regulations accordingly.
The co-authors include two Bournemouth University Visiting Faculty, Prof. Padam Simkhada (based at the University of Huddersfield) and Dr. Brijesh Sathian (based at Rumailah Hospital, Qatar).
Prof. Edwin van Teijlingen
CMWH
Reference:
- Sathian, B., van Teijlingen, E., do Nascimento, I. J. B., Kabir, R., Banerjee, I., Simkhada, P., & Al Hamad, H. (2024). Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain. Nepal Journal of Epidemiology, 14(2), 1310–1312. https://doi.org/10.3126/nje.v14i2.69361