ChatGPT in Occupational Medicine: A Comparative Study with Human Experts.
ChatGPT
artificial intelligence
digital health
health promotion
large language model
occupational health and safety
Journal
Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056
Informations de publication
Date de publication:
06 Jan 2024
06 Jan 2024
Historique:
received:
07
12
2023
revised:
01
01
2024
accepted:
04
01
2024
medline:
22
1
2024
pubmed:
22
1
2024
entrez:
22
1
2024
Statut:
epublish
Résumé
The objective of this study is to evaluate ChatGPT's accuracy and reliability in answering complex medical questions related to occupational health and explore the implications and limitations of AI in occupational health medicine. The study also provides recommendations for future research in this area and informs decision-makers about AI's impact on healthcare. A group of physicians was enlisted to create a dataset of questions and answers on Italian occupational medicine legislation. The physicians were divided into two teams, and each team member was assigned a different subject area. ChatGPT was used to generate answers for each question, with/without legislative context. The two teams then evaluated human and AI-generated answers blind, with each group reviewing the other group's work. Occupational physicians outperformed ChatGPT in generating accurate questions on a 5-point Likert score, while the answers provided by ChatGPT with access to legislative texts were comparable to those of professional doctors. Still, we found that users tend to prefer answers generated by humans, indicating that while ChatGPT is useful, users still value the opinions of occupational medicine professionals.
Identifiants
pubmed: 38247934
pii: bioengineering11010057
doi: 10.3390/bioengineering11010057
pii:
doi:
Types de publication
Journal Article
Langues
eng