Interdisciplinary Dialogues on Surgical Data Science: Revising Its Benefits for Surgical Stakeholders and Patients
Bombieri M, Huaulme A, Cleary K, Giannarou S, Kronreif G, Mathis-Ullrich F, Mazomenos E, Nyangoh Timoh K, Pfeiffer M, Zenati MA, Fiorini P, Jannin P (2026)
Publication Type: Journal article
Publication year: 2026
Journal
Book Volume: 8
Pages Range: 288-295
Journal Issue: 1
DOI: 10.1109/TMRB.2025.3643994
Abstract
Recent advancements in data science and robotic surgery have introduced significant opportunities and challenges in the field of healthcare. To assess their implications, a multidisciplinary panel of experts in medicine and computer science convened to evaluate the potential benefits, risks, and ethical considerations associated with these technologies. The discussion addressed critical topics, including the role of Artificial Intelligence (AI) in enhancing surgical decision-making, the integration of robotics to improve procedural precision, and the broader socioeconomic and psychological impacts on patients and their families. Particular attention was given to the perspectives of key surgical stakeholders, including healthcare professionals and institutions, as well as the implications for equity and accessibility in surgical care. This paper presents a synthesis of the key outcomes from the deliberations. By identifying research gaps and proposing strategic directions, the findings aim to serve as a foundational resource for future investigations and innovations in data-driven and robotic-assisted surgery.
Authors with CRIS profile
Involved external institutions
University of Verona / Università degli Studi di Verona
Italy (IT)
Université de Rennes 1 / University of Rennes 1
France (FR)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Austrian Center for Medical Innovation and Technology (ACMIT)
Austria (AT)
University College London (UCL)
United Kingdom (GB)
Universitätsklinikum Carl Gustav Carus Dresden
Germany (DE)
Brigham and Women's Hospital (BWH)
United States (USA) (US)
Children’s National Health System
United States (USA) (US)
Italy (IT)
Université de Rennes 1 / University of Rennes 1
France (FR)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Austrian Center for Medical Innovation and Technology (ACMIT)
Austria (AT)
University College London (UCL)
United Kingdom (GB)
Universitätsklinikum Carl Gustav Carus Dresden
Germany (DE)
Brigham and Women's Hospital (BWH)
United States (USA) (US)
Children’s National Health System
United States (USA) (US)
How to cite
APA:
Bombieri, M., Huaulme, A., Cleary, K., Giannarou, S., Kronreif, G., Mathis-Ullrich, F.,... Jannin, P. (2026). Interdisciplinary Dialogues on Surgical Data Science: Revising Its Benefits for Surgical Stakeholders and Patients. IEEE Transactions on Medical Robotics and Bionics, 8(1), 288-295. https://doi.org/10.1109/TMRB.2025.3643994
MLA:
Bombieri, Marco, et al. "Interdisciplinary Dialogues on Surgical Data Science: Revising Its Benefits for Surgical Stakeholders and Patients." IEEE Transactions on Medical Robotics and Bionics 8.1 (2026): 288-295.
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