ChatGPT in Occupational Medicine: A Comparative Study with Human Experts

• Published in: Bioengineering (Basel) Vol. 11; no. 1; p. 57
• Main Authors: Padovan, Martina, Cosci, Bianca, Petillo, Armando, Nerli, Gianluca, Porciatti, Francesco, Scarinci, Sergio, Carlucci, Francesco, Dell’Amico, Letizia, Meliani, Niccolò, Necciari, Gabriele, Lucisano, Vincenzo Carmelo, Marino, Riccardo, Foddis, Rudy, Palla, Alessandro
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2024
• Subjects: Accuracy; Application programming interface; Artificial intelligence; Chatbots; ChatGPT; Comparative studies; Decision making; digital health; health promotion; large language model; Legislation; Medical personnel; Medical screening; Medicine; Medicine, Industrial; Natural language; Occupational health; occupational health and safety; Physicians; Questions; R&D; Research & development; Semantics; Teams; Technology application; Usability; United States; Italy; health promotion; digital health; large language model; occupational health and safety; ChatGPT; artificial intelligence

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...