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

Brijesh Sathian; Edwin van Teijlingen; Israel Junior Borges do Nascimento; Russel Kabir; Indrajit Banerjee; Padam Simkhada; Hanadi Al Hamad

doi:10.3126/nje.v14i2.69361

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

Brijesh Sathian, Edwin van Teijlingen, Israel Junior Borges do Nascimento, Russel Kabir, Indrajit Banerjee, Padam Simkhada, Hanadi Al Hamad

Research output: Contribution to journal › Editorial › peer-review

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.

Original language	English
Pages (from-to)	1310-1312
Number of pages	3
Journal	Nepal Journal of Epidemiology
Volume	14
Issue number	2
DOIs	https://doi.org/10.3126/nje.v14i2.69361
Publication status	Published - 2 Sept 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.3126/nje.v14i2.69361Licence: CC BY

Cite this

@article{4ecbeda67ad146ad9b3a8528f1cbdc04,

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

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.",

keywords = "Artificial Intelligence intelligence (GAI), Medicine, Machine Learning, Deep Learning",

author = "Brijesh Sathian and \{van Teijlingen\}, Edwin and \{do Nascimento\}, \{Israel Junior Borges\} and Russel Kabir and Indrajit Banerjee and Padam Simkhada and \{Al Hamad\}, Hanadi",

year = "2024",

month = sep,

day = "2",

doi = "10.3126/nje.v14i2.69361",

language = "English",

volume = "14",

pages = "1310--1312",

journal = "Nepal Journal of Epidemiology",

issn = "2091-0800",

publisher = "International Nepal Epidemiological Association",

number = "2",

}

TY - JOUR

T1 - Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain

AU - Sathian, Brijesh

AU - van Teijlingen, Edwin

AU - do Nascimento, Israel Junior Borges

AU - Kabir, Russel

AU - Banerjee, Indrajit

AU - Simkhada, Padam

AU - Al Hamad, Hanadi

PY - 2024/9/2

Y1 - 2024/9/2

N2 - 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.

AB - 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.

KW - Artificial Intelligence intelligence (GAI)

KW - Medicine

KW - Machine Learning

KW - Deep Learning

U2 - 10.3126/nje.v14i2.69361

DO - 10.3126/nje.v14i2.69361

M3 - Editorial

C2 - 39279990

SN - 2091-0800

VL - 14

SP - 1310

EP - 1312

JO - Nepal Journal of Epidemiology

JF - Nepal Journal of Epidemiology

IS - 2

ER -

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

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this