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Artificial Intelligence in Occupational Medicine: Upholding Disciplinary Integrity and Editorial Standards

Autori

  • Antonio Mutti Editor-in-Chief La Medicina del Lavoro

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Riferimenti bibliografici

1. Thirunavukarasu AJ, Ting DSJ, Elangovan K, Gutierrez L, Tan TF, Ting DSW. Large language models in medicine. Nat Med. 2023;29(8):1930–1940. doi: 10.1038/s41591-023-02448-8.

2. Chaudhry ZS, Choudhury A. Clinical Applications of Artificial Intelligence in Occupational Health: A Systematic Literature Review. J Occup Environ Med. 2024 Dec 1;66(12):943–955. doi: 10.1097/JOM.0000000000003212.

3. Mutti A. Where Are We Going by Applying AI Tools? Are We Going to Lose Our Jobs?. Med Lav. 2025;116(6):18255.

4. Baldassarre A, Padovan M, Palla A et al. Generative multimodal AI-based ILO Classification of Radiographs of Pneumoconioses. Med Lav. 2026, completare

5. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. doi: 10.1038/s41591-018-0300-7.

6. Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378.

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Editoriale

Come citare

1.
Mutti A. Artificial Intelligence in Occupational Medicine: Upholding Disciplinary Integrity and Editorial Standards. Med Lav. 117(2):18996. doi:10.23749/mdl.2026.18996