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

Sathian, B., van Teijlingen, E., Borges do Nascimento, I. J., Kabir, R., Banerjee, I., Simkhada, P. and 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.

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DOI: 10.3126/nje.v14i2.69361

Abstract

Current methodologies for ensuring AI (artificial Intelligence) 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.

Item Type:Article
ISSN:2091-0800
Uncontrolled Keywords:Artificial Intelligence; Medicine; Machine Learning; Deep Learning
Group:Faculty of Health & Social Sciences
ID Code:40316
Deposited By: Symplectic RT2
Deposited On:16 Sep 2024 11:59
Last Modified:16 Sep 2024 11:59

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