Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain.
Authors: Sathian, B., van Teijlingen, E., do Nascimento, I.J.B., Kabir, R., Banerjee, I., Simkhada, P. and Al Hamad, H.
Journal: Nepal J Epidemiol
Volume: 14
Issue: 2
Pages: 1310-1312
ISSN: 2091-0800
DOI: 10.3126/nje.v14i2.69361
https://eprints.bournemouth.ac.uk/40316/
Source: PubMed
Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain.
Authors: Sathian, B., van Teijlingen, E., do Nascimento, I.J.B., Kabir, R., Banerjee, I., Simkhada, P. and Al Hamad, H.
Journal: Nepal Journal of Epidemiology
Volume: 14
Issue: 2
Pages: 1310-1312
Publisher: International Nepal Epidemiological Association (INEA)
eISSN: 2091-0800
ISSN: 2091-0800
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.
https://eprints.bournemouth.ac.uk/40316/
Source: Manual
Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain.
Authors: Sathian, B., van Teijlingen, E., do Nascimento, I.J.B., Kabir, R., Banerjee, I., Simkhada, P. and Al Hamad, H.
Journal: Nepal journal of epidemiology
Volume: 14
Issue: 2
Pages: 1310-1312
eISSN: 2091-0800
ISSN: 2091-0800
DOI: 10.3126/nje.v14i2.69361
https://eprints.bournemouth.ac.uk/40316/
Source: Europe PubMed Central
Urgent need for better quality control, standards and regulation for the Large Language Models used in healthcare domain.
Authors: Sathian, B., van Teijlingen, E., Borges do Nascimento, I.J., Kabir, R., Banerjee, I., Simkhada, P. and Al Hamad, H.
Journal: Nepal Journal of Epidemiology
Volume: 14
Issue: 2
Pages: 1310-1312
Publisher: International Nepal Epidemiological Association (INEA)
ISSN: 2091-0800
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.
https://eprints.bournemouth.ac.uk/40316/
Source: BURO EPrints