
Deep learning approach to predict pain progression in knee osteoarthritis
Author(s) -
Bochen Guan,
Fang Liu,
Arya Haj Mizaian,
Shadpour Demehri,
А. А. Самсонов,
Ali Guermazi,
Richard Kijowski
Publication year - 2021
Publication title -
skeletal radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.571
H-Index - 91
eISSN - 1432-2161
pISSN - 0364-2348
DOI - 10.1007/s00256-021-03773-0
Subject(s) - medicine , osteoarthritis , radiography , knee pain , orthopedic surgery , area under the curve , receiver operating characteristic , physical therapy , framingham risk score , surgery , pathology , disease , alternative medicine
To develop and evaluate deep learning (DL) risk assessment models for predicting pain progression in subjects with or at risk of knee osteoarthritis (OA).