Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

Jakub Olczaka Institute of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, SwedenCorrespondence[email protected]

John Pavlopoulosb Department of Computer and System Sciences, Stockholm University, Sweden

Jasper Prijsc Flinders University, Adelaide, Australia;d Department of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands

Frank F A Ijpmad Department of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;e The Machine Learning Consortium

Job N Doornbergc Flinders University, Adelaide, Australia;d Department of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands;e The Machine Learning Consortium

Claes Lundströmf Center for Medical Image Science and Visualization, Linköping University, Sweden

Joel Hedlundf Center for Medical Image Science and Visualization, Linköping University, Sweden

Max Gordona Institute of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, Sweden

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Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

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Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

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