Regarding “Editorial Commentary: Artificial Intelligence in Sports Medicine Diagnosis Needs to Improve”
Author:
Publisher
Elsevier BV
Subject
Orthopedics and Sports Medicine
Reference11 articles.
1. Editorial commentary: Artificial intelligence in sports medicine diagnosis needs to improve;Paschos;Arthroscopy,2021
2. Diagnostic performance of artificial intelligence for detection of anterior cruciate ligament and meniscus tears: A systematic review;Kunze;Arthroscopy,2021
3. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet;Bien;PLoS Med,2018
4. Deep medicine: How artificial intelligence can make healthcare human again;Topol,2019
5. Artificial intelligence for the orthopaedic surgeon: An overview of potential benefits, limitations, and clinical applications;Makhni;J Am Acad Orthop Surg,2021
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1. Recommended Requirements and Essential Elements for Proper Reporting of the Use of Artificial Intelligence Machine Learning Tools in Biomedical Research and Scientific Publications;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2024-04
2. Framework of the Smart Finance and Accounting Management Model under the Artificial Intelligence Perspective;Mobile Information Systems;2021-10-11
3. Automatic AI Detection Technology of Foul Shot Scanning in Simulated Basketball Match Under the Background of AI;Lecture Notes on Data Engineering and Communications Technologies;2021-09-27
4. Artificial Intelligence, Machine Learning, and Medicine: A Little Background Goes a Long Way Toward Understanding;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2021-06
5. Response to “Regarding ‘Editorial Commentary: Artificial Intelligence in Sports Medicine Diagnosis Needs to Improve’”;Arthroscopy: The Journal of Arthroscopic & Related Surgery;2021-05
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