Table 2.

Summary of existing reviews.

Publication reference	Year	Scope of review	Modality
Pedoia and Majumdar [24]	2018	Advances in assessment (image processing and deep learning techniques), quantitative imaging, multidimensional data analysis of knee and hip OA	MRI, X-ray (plain radiography)
Hayashiet al. [10]	2019	MRI techniques on knee OA assessment: development of new concept and techniques, hybrid imaging, artificial intelligence application	MRI
Chaudhari et al. [25]	2019	Existing development in OA diagnosis using magnetic resonance images: Morphological imaging, compositional imaging, rapid biomarker extraction, hardware improvements	MRI
Garwood et al. [13]	2020	AI application on knee pathologies: cartilages (osteoarthritis), ligaments, meniscus, tendons, musculoskeletal ultrasound, bone tumors, fractures	MRI, X-ray (plain radiography)
Kaur et al. [41]	2020	Knee cartilage and bone segmentation approaches: thresholding-based, partial differential equation-based, graph-based, atlas-based, model-based, machine learning-based (includes deep learning)	MRI, CT
Gan et al. [8]	2020	Knee bone and cartilage segmentation approaches: region-based; deformable model-based, atlas-based, graph-based, classical machine learning-based, deep learning-based	MRI
		Evaluation of computational models, brief discussion of classification models
Ebrahimkhani et al. [28]	2020	Knee articular cartilage segmentation approaches: conventional methods, active contour models, active shape and active appearance models, graph-based, atlas-based, learning-based (5 publications on deep learning)	MRI
Eckstein et al. [42]	2021	Imaging studies on OA research between January 2019 and April 2020: models of early knee OA, structure modification in established OA, deep learning approaches in image analysis	MRI, X-ray (plain radiography)
Kijowski et al. [43]	2019	Imaging studies on OA research between April 1, 2018, and March 30, 2019: risk factors of OA, OA disease evaluation or treatment response, technical advances, and deep learning in OA imaging	MRI, ultrasound, X-ray (plain radiography), CT, positron emission tomography (PET), dual energy X-ray absorptiometry (DXA)
Nieminen et al. [44]	2018	Imaging studies on OA research between 1 April 2017 and 31 March 2018: cross-sectional studies, prediction, prognostic and progression studies of different modalities and deep learning	MRI, radiography, CT, ultrasound, nuclear medicine
Saini et al. [45]	2021	Knee OA severity classification: distinct feature quantification-based, and composite grading-based	X-ray (plain radiography)
		Knee segmentation approaches: manual, semiautomatic, automatic methods

Note. Scope of review: osteoarthritis (OA); modality: magnetic resonance imaging (MRI) and computed tomography (CT).