Epublishing and Open Access

Articles published in 2023 in this theme: 9 (scroll down to load remaining articles)

2023

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Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study

Jin Shi, David Bendig, Horst Christian Vollmar, Peter Rasche

J Med Internet Res 2023 (Dec 08); 25:e45815

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Women Are Underrepresented Among Authors of Retracted Publications: Retrospective Study of 134 Medical Journals

Paul Sebo, Joëlle Schwarz, Margaux Achtari, Carole Clair

J Med Internet Res 2023 (Oct 06); 25:e48529

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Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor

Tiffany I Leung, Taiane de Azevedo Cardoso, Amaryllis Mavragani, Gunther Eysenbach

J Med Internet Res 2023 (Aug 31); 25:e51584

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Open Science and Software Assistance: Commentary on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened”

Pedro L Ballester

J Med Internet Res 2023 (May 31); 25:e49323

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Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened

Martin Májovský, Martin Černý, Matěj Kasal, Martin Komarc, David Netuka

J Med Internet Res 2023 (May 31); 25:e46924

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Using Normative Language When Describing Scientific Findings: Randomized Controlled Trial of Effects on Trust and Credibility

Jon Agley, Yunyu Xiao, Esi E Thompson, Lilian Golzarri-Arroyo

J Med Internet Res 2023 (Mar 30); 25:e45482

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Factors Associated With Open Access Publishing Costs in Oncology Journals: Cross-sectional Observational Study

Alex Koong, Ulysses Grant Gardner, Jason Burton, Caleb Stewart, Petria Thompson, Clifton David Fuller, Ethan Bernard Ludmir, Michael Kevin Rooney

JMIR Form Res 2023 (Mar 16); 7:e44633

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Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study

Simon Šuster, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola, Yulia Otmakhova, Karin Verspoor

J Med Internet Res 2023 (Mar 13); 25:e35568

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Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

Carmelo Macri, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert Casson, WengOnn Chan

J Med Internet Res 2023 (Mar 07); 25:e42789

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