As artificial intelligence (AI) tools and technologies become more ubiquitous in radiology, the role they play in the day-to-day work of radiologists is gaining importance. This narrative review provides an overview of the clinical applications of AI in musculoskeletal imaging, diving into specific areas of musculoskeletal disorders including trauma, bone age estimation, bone and soft-tissue tumors, and orthopedic implant-related pathology. An important part of the application of AI products will come down to their selection by radiologists to help with areas such as optimizing workflow and helping with an ever-increasing workload.
Key points:
- AI may potentially assist musculoskeletal radiologists in several interpretative tasks.
- AI applications to trauma, age estimation, osteoarthritis, tumors, and orthopedic implants are discussed.
- AI should help radiologists to optimize workflow and augment diagnostic performance.
Article: AI applications in musculoskeletal imaging: a narrative review
Authors: Salvatore Gitto, Francesca Serpi, Domenico Albano, Giovanni Risoleo, Stefano Fusco, Carmelo Messina & Luca Maria Sconfienza
