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Eyal Bercovich, MD

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

About

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

Training

Research Interests

Medical Imaging AI

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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. Bercovich E, Javitt MC. Medical imaging: from Roentgen to the digital revolution, and beyond. Rambam Maimonides Medical Journal 2018;9(4):e0034. doi · PubMed
  12. 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

Full list: Google Scholar · ORCID 0009-0008-2742-6550.

Teaching

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.