Impact of artificial intelligence on acquisition efficiency, image quality and resolution in knee MRI: a pre-post quasi-experimental study protocol: L. Guardamagna,1,2 D. Savioni,3 L. Spagnolo,4 S. Haoufadi,1 G. Marzagalli,2,5 G. Barra,2,6 M. Provenzano,2,7 D. Di Napoli8 | 1Department of Orthopedics and Traumatology, Clinical Institutes of Pavia and Vigevano, Pavia; 2Laboratory for Rehabilitation and Orthopedic Surgery, Institute of Care “Città di Pavia”, Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia; 3Senior Radiology Technician, Radiology Unit, Institute of Care “Città di Pavia”; 4Chief Radiology Technician, Radiology Unit, Institute of Care “Città di Pavia”; 5Education Area, Medical Direction, Clinical Institutes of Pavia and Vigevano, Pavia; 6Quality and Accreditation Area, Medical Direction, Clinical Institutes of Pavia and Vigevano, Pavia; 7Directorate of Nursing and Allied Health Professions, Clinical Institutes of Pavia and Vigevano, Pavia; 8Medical Director, Clinical Institutes of Pavia and Vigevano, Pavia, Italy. G Ital Med Lav Ergon [Internet]. 2026 Jan. 28 [cited 2026 Apr. 19];48(s1). Available from: https://medicine.pagepress.net/gimle/article/view/750