Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain

Authors

  • Brijesh Sathian Geriatrics and long term care department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatae
  • Edwin van Teijlingen Centre for Midwifery & Women’s Health, Bournemouth University, Bournemouth, UK
  • Israel Junior Borges do Nascimento Division of Country Health Policies and Systems, World Health Organization Regional Office for Europe, Copenhagen, 2100, Denmark
  • Russel Kabir School of Allied Health, Anglia Ruskin University, Essex, UK
  • Indrajit Banerjee Sir Seewoosagur Ramgoolam Medical College, Belle Rive, Mauritius
  • Padam Simkhada School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
  • Hanadi Al Hamad Geriatrics and long term care department, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatae

DOI:

https://doi.org/10.3126/nje.v14i2.69361

Keywords:

Artificial Intelligence, Medicine, Machine Learning, Deep Learning

Abstract

Current methodologies for ensuring AI technology safety and efficacy may be adequate for earlier AI iterations predating generative artificial intelligence (GAI). However, governing clinical 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.

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Published

2024-09-02

How to Cite

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

Issue

Vol. 14 No. 2 (2024)

Section

Editorial

License

Copyright (c) 2024 CEA & INEA

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