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

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

Background and purpose — Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in general. Engineers perform much of the work. While they gear the results towards healthcare professionals, the difference in competen...

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Bibliographic Details
Main Authors: Jakub Olczak, John Pavlopoulos, Jasper Prijs, Frank F A Ijpma, Job N Doornberg, Claes Lundström, Joel Hedlund, Max Gordon
Format: Article
Language:English
Published: Taylor & Francis Group 2021-05-01
Series:Acta Orthopaedica
Online Access:http://dx.doi.org/10.1080/17453674.2021.1918389

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http://dx.doi.org/10.1080/17453674.2021.1918389

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