Leveraging artificial intelligence to detect ethical concerns in medical research: a case study.

Journal: Journal of medical ethics

PMID: 38408853

Abstract

BACKGROUND: Institutional review boards (IRBs) have been criticised for delays in approvals for research proposals due to inadequate or inexperienced IRB staff. Artificial intelligence (AI), particularly large language models (LLMs), has significant potential to assist IRB members in a prompt and efficient reviewing process.

Authors

Kannan Sridharan

Department of Pharmacology & Therapeutics, College of Medicine & Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.
Gowri Sivaramakrishnan

Dental Post Graduate Training Department, PHCC, Manama, Kingdom of Bahrain.

Keywords

Artificial Intelligence Biomedical Research Consent Forms Ethics Committees, Research Ethics, Research Humans Informed Consent Risk Assessment

External Resources

View on PubMed Access via DOI PubMed (38408853)

Leveraging artificial intelligence to detect ethical concerns in medical research: a case study.

Abstract

Authors

Keywords

External Resources

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