Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity
The study compares the diagnostic performance of deep learning (DL) with that of the former radiologist reading of the Kellgren–Lawrence (KL) grade and evaluates whether additional patient data can improve the diagnostic performance of DL. From March 2003 to February 2017, 3000 patients with 4366 kn...
Main Authors: | Dong Hyun Kim, Kyong Joon Lee, Dongjun Choi, Jae Ik Lee, Han Gyeol Choi, Yong Seuk Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Journal of Clinical Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-0383/9/10/3341 |
Similar Items
-
Can Deep Learning Using Weight Bearing Knee Anterio-Posterior Radiograph Alone Replace a Whole-Leg Radiograph in the Interpretation of Weight Bearing Line Ratio?
by: Hyun-Doo Moon, et al.
Published: (2021-04-01) -
Analysis of Affecting Factors of the Fate of Medial Meniscus Posterior Root Tear Based on Treatment Strategies
by: Jae Ik Lee, et al.
Published: (2021-02-01) -
A Novel Application of Buprenorphine Transdermal Patch to Relieve Pain in the Knee Joint of Knee Osteoarthritis Patients: A Retrospective Case-Control Study
by: Ho Young Gil, et al.
Published: (2019-07-01) -
Spinal Flexibility Is an Important Factor for Improvement in Spinal and Knee Alignment after Total Knee Arthroplasty: Evaluation Using a Whole Body EOS System
by: Seong Chan Kim, et al.
Published: (2020-10-01) -
Efficacy and Safety of Miniscalpel Acupuncture on Knee Osteoarthritis - A randomized controlled pilot trial -
by: Seungah Jun, et al.
Published: (2018-09-01)