La Medicina del Lavoro

Stefania Curti, Mena Gallo, Daniela Ferrante, Francesca Bella, Lorenza Boschetti , Veronica Casotto , Marcello Ceppi, Daniela Cervino, Lucia Fazzo, Ugo Fedeli, Paolo Giorgi Rossi, Lucia Giovannetti, Paolo Girardi, Cecilia Lando, Enrica Migliore, Lucia Miligi, Enrico Oddone, Vincenza Perlangeli , Roberta Pernetti, Sara Piro, Cinzia Storchi, Rosario Tumino, Amerigo Zona, Manuel Zorzi, Giovanni Brandi, Stefano Ferretti, Corrado Magnani, Alessandro Marinaccio, Stefano Mattioli

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DOI: https://doi.org/10.23749/mdl.v115i2.14649

Editor-in-Chief

Antonio Mutti

Journal Information

Language: English
Frequency: 6 issues/year
Format: 20 x 27 cm
ISSN: 0025-7818
eISSN: 2532-1080
2025 Impact Factor (Clarivate JCR): 2.1
2025 Scopus Cite Score: 4.6

Med Lav Vol 117 No 2 (2026)

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Informazioni

Listed in:

Scopus coverage years:from 1947 to 1963, from 1965 to Present

Official Impact Factor 2025: 2.1

FAD

La FAD sarà online dal 19/01/2026 al 30/12/2026.
I Soci SIML in regola con la quota associativa riceveranno una mail di invito da Mattioli Academy con la quale accedere gratuitamente al corso.

News

Call for Applications for the Enrico C. Vigliani Award - Invito a Sottomettere Candidature per il Premio Enrico C. Vigliani

La SIML – Società Italiana di Medicina del Lavoro è lieta di annunciare l’apertura delle candidature per il prestigioso Premio Vigliani, riconoscimento annuale riservato a giovani ricercatori che si siano distinti per l’impegno e la qualità della propria attività scientifica nel campo della Medicina del Lavoro.

Scadenze Importanti:
CANDIDATURA: data limite 31 agosto 2026, ore 18
COMUNICAZIONE DEL VINCITORE: 15 settembre 2026
PREMIAZIONE UFFICIALE: 7 ottobre 2026, Giardini Naxos (Messina) – 88° Congresso Nazionale SIML

>>Leggi l'annuncio

Adoption of a new AI Policy (Effective 1^st January 2026)

La Medicina del Lavoro | Work, Environment and Health announces that, effective 1 January 2026, the journal will formally adopt the Editorial Policy on the Use of Artificial Intelligence in the Peer Review Process as outlined in the attached document.

This policy establishes clear principles and operational guidelines for the responsible use of AI tools by reviewers and editorial staff. It reaffirms the journal’s commitment to:

- Human accountability in all scientific judgments
- Transparency regarding the use of AI beyond basic editorial support
- Quality and rigor in the peer review process
- Strict confidentiality of submitted manuscripts

The policy introduces a structured framework defining acceptable and unacceptable uses of AI during peer review, ensuring that technological innovation enhances—rather than replaces—human expertise and ethical responsibility (see the 4th paragraph of our policies).

All reviewers invited from 1 January 2026 onward will be expected to comply with this policy and, where applicable, include the required transparency statement in their confidential comments to the editor.

La Medicina del Lavoro | Work, Environment and Health remains committed to safeguarding scientific integrity while embracing responsible innovation in scholarly publishing.

Publons Reviewer Recognition Service

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