Reviewers 2019

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doi:10.23749/mdl.v111i1.9289

Editorial Office

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12-02-2020

DOI: https://doi.org/10.23749/mdl.v111i1.9289

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Office E. Reviewers 2019. Med Lav. 2020;111(1):77-78. doi:10.23749/mdl.v111i1.9289

Issue

Vol. 111 No. 1 (2020)

Section

Acknowledgement to Scientific Reviewers

All Journal's articles are Open Access papers distributed under the terms of the Creative Commons Attribution License CC BY-NC 4.0 Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reproductions with commercial intent will require written permission and payment of royalties.

How to Cite

Office E. Reviewers 2019. Med Lav. 2020;111(1):77-78. doi:10.23749/mdl.v111i1.9289

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

Official Impact Factor 2025: 2.1

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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.

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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.

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CANDIDATURA: data limite 31 agosto 2026, ore 18
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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.

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