Musculoskeletal imaging in neonates: use of ultrasound

AbstractRecent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.

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Musculoskeletal Imaging for Dermatologists: Techniques in the Diagnosis and Management of Psoriatic Arthritis

Dermatology and Therapy ◽

10.1007/s13555-021-00565-1 ◽

2021 ◽

Author(s):

Alice B. Gottlieb ◽

Catherine Bakewell ◽

Joseph F. Merola

Keyword(s):

Psoriatic Arthritis ◽

Musculoskeletal Imaging ◽

Diagnosis And Management

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Musculoskeletal Imaging

Oncology ◽

10.1007/0-387-31056-8_32 ◽

2007 ◽

pp. 442-448 ◽

Cited By ~ 1

Author(s):

Leanne L. Seeger ◽

Kambiz Motamedi

Keyword(s):

Musculoskeletal Imaging

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Pattern Recognition in Musculoskeletal Imaging Using Artificial Intelligence

Seminars in Musculoskeletal Radiology ◽

10.1055/s-0039-3400266 ◽

2020 ◽

Vol 24 (01) ◽

pp. 38-49 ◽

Cited By ~ 2

Author(s):

Natalia Gorelik ◽

Jaron Chong ◽

Dana J. Lin

Keyword(s):

Artificial Intelligence ◽

Pattern Recognition ◽

Bone Tumors ◽

Image Interpretation ◽

Bone Age ◽

Musculoskeletal Imaging ◽

Radiology Workflow ◽

Disease Response ◽

Osseous Metastases ◽

Applications Of Ai

AbstractArtificial intelligence (AI) has the potential to affect every step of the radiology workflow, but the AI application that has received the most press in recent years is image interpretation, with numerous articles describing how AI can help detect and characterize abnormalities as well as monitor disease response. Many AI-based image interpretation tasks for musculoskeletal (MSK) pathologies have been studied, including the diagnosis of bone tumors, detection of osseous metastases, assessment of bone age, identification of fractures, and detection and grading of osteoarthritis. This article explores the applications of AI for image interpretation of MSK pathologies.

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