Deep Learning in Orthopedics: How Do We Build Trust in the Machine?-Reference-Cited by-同舟云学术

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Deep Learning in Orthopedics: How Do We Build Trust in the Machine?

Published:2020-03-30 Issue: Volume: Page:
ISSN:2379-9900
Container-title:Healthcare Transformation
language:en
Short-container-title:Healthcare Transformation

Author:

Borjali Alireza¹²,Chen Antonia F.³,Muratoglu Orhun K.¹²,Morid Mohammad A.⁴,Varadarajan Kartik M.¹²

Affiliation:

1. Department of Orthopaedic Surgery, Harvard Medical School, Boston, Massachusetts.

2. Harris Orthopaedics Laboratory, Department of Orthopaedic, Massachusetts General Hospital, Boston, Massachusetts.

3. Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

4. Department of Information Systems and Analytics, Santa Clara University Leavey School of Business, Santa Clara, California.

Publisher

Mary Ann Liebert Inc

Subject

Industrial and Manufacturing Engineering,Surfaces, Coatings and Films

Link

https://www.liebertpub.com/doi/pdf/10.1089/heat.2019.0006

Reference13 articles.

1. Uses of Electronic Health Records for Public Health Surveillance to Advance Public Health

2. Predicting the polyethylene wear rate in pin-on-disc experiments in the context of prosthetic hip implants: Deriving a data-driven model using machine learning methods

3. Friction between a polyethylene pin and a microtextured CoCrMo disc, and its correlation to polyethylene wear, as a function of sliding velocity and contact pressure, in the context of metal-on-polyethylene prosthetic hip implants

4. Using a patterned microtexture to reduce polyethylene wear in metal-on-polyethylene prosthetic bearing couples

5. Microtextured CoCrMo alloy for use in metal-on-polyethylene prosthetic joint bearings: Multi-directional wear and corrosion measurements

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1. Identification and interpretation of gait analysis features and foot conditions by explainable AI;Scientific Reports;2024-03-12

2. Identifying Anterior Cruciate Ligament Injuries Through Automated Video Analysis of In-Game Motion Patterns;Orthopaedic Journal of Sports Medicine;2024-03

3. Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs;BMC Musculoskeletal Disorders;2024-02-09

4. Artificial Intelligence ChatGPT’s Perspective on Implementation of Augmented Intelligence within Orthopaedic Practice—A Comparative Narrative Synthesis?;Intelligent Information Management;2024

5. The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight‐bearing CT scanning;Knee Surgery, Sports Traumatology, Arthroscopy;2023-10-12

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