.png){kind=icon}
.png){kind=icon}
Return
Radiomics Grading of Hand Osteoarthritis Severity Using Standard Radiographs: Results from the DIGICOD Cohort
.png){kind=icon}
OA
AI
L
A
L
C
S
E
M
A
F
A
J
J
L
DOI：10.1016/j.joca.2026.05.009.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study evaluated whether radiomics analysis of standard hand radiographs could provide an automated and objective assessment of structural severity in hand osteoarthritis (HOA) compared to Kellgren-Lawrence (KL) scores, ranging from 0 (normal) to 4 (severe).
Keywords:
Osteoarthritis
Hand
Radiograph
Radiomics
Machine Learning
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9
Papers:
1.3W
Citations:
2.2W
Organization
Cited Papers