Clinical Lecturer · Musculoskeletal Radiology & Medical Imaging AI
University of Haifa — Herta and Paul Amir School of Medicine & Department of Medical Imaging Sciences, Faculty of Social Welfare and Health Sciences, Haifa, Israel
Eyal Bercovich is a physician–scientist in musculoskeletal radiology and medical imaging
artificial intelligence. He holds a Clinical Lecturer appointment at the
Herta and Paul Amir School of Medicine and at the
Department of Medical Imaging Sciences, Faculty of Social Welfare and Health Sciences,
University of Haifa, where he heads the Medical Imaging Education Segment. His research spans multimodal imaging, ultrasound–CT fusion,
AI-assisted lesion detection, physics-informed deep learning, and metacognition in
radiologic decision-making.
He completed a BSc in Biomedical Engineering (Technion Excellence Program) and an MD at the
Rappaport Faculty of Medicine, Technion, followed by a radiology residency (2013–2018)
and musculoskeletal imaging fellowship (2018–2019) at Rambam Health Care Campus, where
he subsequently served as Vice Chair of Medical Imaging and Head of the CT Unit and Advanced
Imaging/AI Research (2022–2026). He is a board member of TERA — the
Technion–Rambam AI initiative — and serves on the advisory board of the
University of Haifa Tech MBA program.
Academic & Professional Positions
2026 – present Medical Imaging Director, Medica, Haifa.
2025 – present Clinical Lecturer, Herta and Paul Amir School of Medicine, University of Haifa.
2022 – present Clinical Lecturer & Head, Medical Imaging Education Segment, Department of Medical Imaging Sciences, Faculty of Social Welfare and Health Sciences, University of Haifa.
2024 – present Advisory board member, Tech MBA program, University of Haifa.
2023 – present Board member, TERA — Technion–Rambam AI initiative.
2023 – present Head Radiologist, Maccabi Haifa Football Club.
2022 – 2026 Vice Chair of Medical Imaging & Head, CT Unit and Advanced Imaging/AI Research, Rambam Health Care Campus.
2019 – present Attending Radiologist, Department of Medical Imaging, Rambam Health Care Campus.
Training
2018 – 2019 Musculoskeletal Imaging Fellowship, Rambam Health Care Campus (supervisor: Dr. D. Militianu).
2013 – 2018 Radiology Residency, Rambam Health Care Campus (supervisor: Prof. M. Javitt).
2003 – 2012 MD, Rappaport Faculty of Medicine, Technion – Israel Institute of Technology.
Deep learning for lesion detection in radiographs and MRI; physics-informed neural networks for computer-aided diagnosis; semi-supervised detectors; AI in pediatric bone tumors and breast MRI.
Multimodal & Fusion Imaging
Ultrasound–CT co-registration for urolithiasis follow-up, aortic aneurysm surveillance, and image-guided interventions.
Metacognition & Workflow in Radiology
Cognitive factors in diagnostic accuracy; impact of workload on off-hour performance; NLP-based radiology report quality assessment with large language models.
Musculoskeletal & Sports Imaging
Imaging biomarkers for sports injury prevention and return-to-play; myofascial taut-band MRI; DISH and axial-skeleton biomechanics.
Peer-Reviewed Publications
Rinott B, Zeltser-Dekel C, Ilivitzki A, Militianu D, Bercovich E.
AI bone-lesion classifier with sensitivity-driven optimization for radiographs.
Clinical Radiology 2025;90:107075.
doi
· PubMed
Sokolovski B, Bar N, Stern A, Bercovich E, Rinott B, Puchkov N, Militianu D.
Incidence of voriconazole-induced periostitis in a tertiary medical center: a single-center retrospective analysis.
BMC Infectious Diseases 2026.
doi
Zisman A, Malshy K, Rinott B, Sadeh O, Nativ O, Mullerad M, Bercovich E.
Ultrasound–CT fusion in ureteral stone follow-up: a prospective accuracy study benchmarked against ureteroscopy.
Urolithiasis 2025;53(1):203.
doi
· PubMed
Nemirovsky-Rotman S, Bercovich E.
Explicit physics-informed deep learning for computer-aided diagnostic tasks in medical imaging.
Machine Learning and Knowledge Extraction 2024;6(1):385–401.
doi
Zimbalist T, Rosen R, Peri-Hanania K, Caspi Y, Rinott B, Zeltser-Dekel C, Bercovich E, Eldar YC, Bagon S.
Detecting bone lesions in X-ray under diverse acquisition conditions.
Journal of Medical Imaging 2024;11(2):024502.
doi
· PubMed
Gliner-Ron M, Bercovich E, Herman A, Lidar M, Militianu D, Eshed I.
Osteophytes' position in subjects with DISH and right-sided aorta: verification of the “aortic pulsation protective effect” theory.
Rheumatology (Oxford) 2022;61(12):4910–4914.
doi
· PubMed
Keltz E, Bercovich E, Militianu D, Minerbi A.
Imaging of myofascial taut bands using gadolinium-enhanced magnetic resonance imaging.
Pain Medicine 2022;23(7):1336–1337.
doi
· PubMed
Ofshenko N*, Bercovich E*, Mashiach T, Weiler-Sagie M, Militianu D, Dann EJ.
Reduction of vertebral bone mineral density in patients with Hodgkin lymphoma correlates with their age and treatment regimen.
Cancers 2022;14(3):495.
doi
· PubMed
Zur G, Andraous M, Bercovich E, Litvin M, Ofer A, Gaitini D, Javitt MC.
CT-ultrasound fusion for abdominal aortic aneurysm measurement.
American Journal of Roentgenology 2020;214(2):472–476.
doi
Bercovich E, Leiderman M, Beck-Razi N, Gaitini D, Javitt MC.
Ultrasound–Unenhanced CT Fusion for Detection and Localization of Ureteral Stones.
American Journal of Roentgenology 2018;210(1):W8–W11.
doi
· PubMed
Bercovich E, Javitt MC.
Medical imaging: from Roentgen to the digital revolution, and beyond.
Rambam Maimonides Medical Journal 2018;9(4):e0034.
doi
· PubMed
Bercovich E, Keinan-Boker L, Shasha SM.
Long-term health effects in adults born during the Holocaust.
Israel Medical Association Journal 2014;16(4):203–207.
PubMed
Dr. Bercovich is a faculty member of the
Herta and Paul Amir School of Medicine and of the
Department of Medical Imaging Sciences, Faculty of Social Welfare and Health Sciences,
University of Haifa. He heads the Medical Imaging Education Segment within the Department and
develops imaging curricula for the School of Medicine. Teaching covers diagnostic imaging,
cross-sectional anatomy, musculoskeletal radiology, and applied AI in medical imaging.
Contact
Academic correspondence: ebercovic@univ.haifa.ac.il
Department of Medical Imaging Sciences, University of Haifa, Mount Carmel, Haifa, Israel.