Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022

Ozkan Cigdem, Cem Murat Deniz

Osteoarthritis Imaging 2023 article cited by 34

Source Open-access PDF More in Medicine & Health

importance 5/10 ai assisted Artificial Intelligence in Healthcare and Education orthopedics stage: research

Problem

Need for a comprehensive overview of AI applications in knee osteoarthritis diagnosis, prognosis and imaging.

Why it matters

Knee osteoarthritis is a major disabling disease where AI may improve diagnosis and imaging efficiency.

What the AI did

Literature review of 2022 peer-reviewed articles on AI for knee OA diagnosis, prognosis, classification, accelerated image acquisition and segmentation, cataloguing models, validation and results.

Results

395 articles screened, 35 reviewed: 8 diagnosis, 6 prognosis, 3 classification, 3 accelerated acquisition, 15 segmentation; 57% of articles (detail truncated)

Impact

Synthesizes 2022 evidence on AI for knee osteoarthritis; no new model or benchmark introduced.

Record

Venue	Osteoarthritis Imaging
Published	2023
Work type	article
Authors	Ozkan Cigdem, Cem Murat Deniz
Citations	34 (OpenAlex, at import time)
References	73
Model or method	not stated in source
Organization	not stated in source
Primary source	https://doi.org/10.1016/j.ostima.2023.100161
Open access	hybrid
Keywords	knee osteoarthritis, artificial intelligence, literature review, diagnosis, segmentation

Importance rating

5 / 10

real but narrower advance

Knee osteoarthritis detection/management is a real clinical need, but abstract gives no scale; review synthesizes evidence without new model.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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