Artificial Intelligence

Optometrists' Perspectives Regarding Artificial Intelligence Aids and Contributing Retinal Images to a Repository: Web-Based Interview Study

Aurora Constantin, Malcolm Atkinson, Miguel Oscar Bernabeu, Fiona Buckmaster, Baljean Dhillon, Alice McTrusty, Niall Strang, Robin Williams

JMIR Hum Factors 2023 (May 25); 10:e40887

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Supporting Adolescent Engagement with Artificial Intelligence–Driven Digital Health Behavior Change Interventions

Alison Giovanelli, Jonathan Rowe, Madelynn Taylor, Mark Berna, Kathleen P Tebb, Carlos Penilla, Marianne Pugatch, James Lester, Elizabeth M Ozer

J Med Internet Res 2023 (May 24); 25:e40306

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A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

JMIR AI 2023 (May 22); 2:e44779

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Exploring Stakeholder Requirements to Enable Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Results of a Multistep Mixed Methods Study

Lina Weinert, Maximilian Klass, Gerd Schneider, Oliver Heinze

JMIR Form Res 2023 (Apr 18); 7:e43958

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Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty

David Shalom Liu, Kamil Abu-Shaban, Safwan S Halabi, Tessa Sundaram Cook

JMIR Med Educ 2023 (Mar 20); 9:e43415

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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Carl Thomas Berdahl, Lawrence Baker, Sean Mann, Osonde Osoba, Federico Girosi

JMIR AI 2023 (Feb 07); 2:e42936

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Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review

Roberto Tornero-Costa, Antonio Martinez-Millana, Natasha Azzopardi-Muscat, Ledia Lazeri, Vicente Traver, David Novillo-Ortiz

JMIR Ment Health 2023 (Feb 02); 10:e42045

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The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review

Hao Wu, Xiaoyu Lu, Hanyu Wang

JMIR AI 2023 (Jan 30); 2:e38397

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Artificial Intelligence in Medicine: Text Mining of Health Care Workers’ Opinions

Pascal Nitiéma

J Med Internet Res 2023 (Jan 27); 25:e41138

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Chronic Disease Prediction Using the Common Data Model: Development Study

Chanjung Lee, Brian Jo, Hyunki Woo, Yoori Im, Rae Woong Park, ChulHyoung Park

JMIR AI 2022 (Dec 22); 1(1):e41030

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Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches

Xiaoyu Liu, Hiba Alsghaier, Ling Tong, Amna Ataullah, Susan McRoy

JMIR AI 2022 (Dec 20); 1(1):e37751

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Adolescents’ Well-being While Using a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study

Dana Vertsberger, Navot Naor, Mirène Winsberg

JMIR AI 2022 (Nov 29); 1(1):e38171

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Clinicians’ Perceptions of an Artificial Intelligence–Based Blood Utilization Calculator: Qualitative Exploratory Study

Avishek Choudhury, Onur Asan, Joshua E Medow

JMIR Hum Factors 2022 (Oct 31); 9(4):e38411

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