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How AI may transform musculoskeletal imaging
While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …
[HTML][HTML] MR-imaging in osteoarthritis: current standard of practice and future outlook
Osteoarthritis (OA) is a common degenerative joint disease that affects millions of people
worldwide. Magnetic resonance imaging (MRI) has emerged as a powerful tool for the …
worldwide. Magnetic resonance imaging (MRI) has emerged as a powerful tool for the …
Prospective Comparison of Standard and Deep Learning–reconstructed Turbo Spin-Echo MRI of the Shoulder
Background Deep learning (DL)–based MRI reconstructions can reduce imaging times for
turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based …
turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based …
Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study
Q Wang, W Zhao, X **ng, Y Wang, P **n, Y Chen… - European …, 2023 - Springer
Objectives To evaluate the image quality and diagnostic performance of AI-assisted
compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI compared with …
compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI compared with …
[HTML][HTML] A perspective on the evolution of semi-quantitative MRI assessment of osteoarthritis: past, present and future
Objective This perspective describes the evolution of semi-quantitative (SQ) magnetic
resonance imaging (MRI) in characterizing structural tissue pathologies in osteoarthritis (OA) …
resonance imaging (MRI) in characterizing structural tissue pathologies in osteoarthritis (OA) …
Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology
Artificial intelligence (AI) has numerous applications in radiology. Clinical research studies
to evaluate the AI models are also diverse. Consequently, diverse outcome metrics and …
to evaluate the AI models are also diverse. Consequently, diverse outcome metrics and …
Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging–Accelerated Knee MRI Using Arthroscopy Validation
Background Deep learning (DL) methods can improve accelerated MRI but require
validation against an independent reference standard to ensure robustness and accuracy …
validation against an independent reference standard to ensure robustness and accuracy …
Accelerated musculoskeletal magnetic resonance imaging
With a substantial growth in the use of musculoskeletal MRI, there has been a growing need
to improve MRI workflow, and faster imaging has been suggested as one of the solutions for …
to improve MRI workflow, and faster imaging has been suggested as one of the solutions for …
Evaluation of a newly designed deep learning-based algorithm for automated assessment of scapholunate distance in wrist radiography as a surrogate parameter for …
Purpose Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent
cause of degenerative wrist arthritis. A newly developed deep learning (DL)-based …
cause of degenerative wrist arthritis. A newly developed deep learning (DL)-based …
Strategic application of imaging in DMOAD clinical trials: focus on eligibility, drug delivery, and semiquantitative assessment of structural progression
Despite decades of research efforts and multiple clinical trials aimed at discovering
efficacious disease-modifying osteoarthritis (OA) drugs (DMOAD), we still do not have a drug …
efficacious disease-modifying osteoarthritis (OA) drugs (DMOAD), we still do not have a drug …