Revista do Colégio Brasileiro de Cirurgiões, Journal Year: 2023, Volume and Issue: 50
Published: Jan. 1, 2023
Current Problems in Surgery, Journal Year: 2024, Volume and Issue: 61(11), P. 101625 - 101625
Published: Oct. 8, 2024
Citations
7
EClinicalMedicine, Journal Year: 2024, Volume and Issue: 70, P. 102545 - 102545
Published: March 22, 2024
BackgroundSurgical video contains data with significant potential to improve surgical outcome assessment, quality assurance, education, and research. Current utilisation of recording is unknown related policies/governance structures are unclear.MethodsA nationwide Freedom Information (FOI) request concerning recording, technology, consent, access, governance was sent all acute National Health Service (NHS) trusts/boards in England/Wales between 20th February March 2023.Findings140/144 (97.2%) responded the FOI request. Surgical procedures were routinely recorded 22 trusts/boards. The median estimate consultant surgeons their 20%. stored on internal systems (n = 27), third-party products 29), both 9). 32/140 (22.9%) ask for consent record as part routine care. Consent included non-clinical purposes 55/140 (39.3%) Policies surgeon/patient access available 48/140 (34.3%) trusts/boards, respectively. used 64/140 (45.7%) Governance policies covering use, and/or storage from 59/140 (42.1%) trusts/boards.InterpretationThere heterogeneity practices England Wales. A minority procedures, large variation recording/storage indicating scope NHS-wide coordination. Revision accessibility, should be prioritised by protect key stakeholders. Increased availability essential patients maximally benefit ongoing digital transformation surgery.FundingKL supported an NIHR Academic Clinical Fellowship acknowledges infrastructure support this research Institute Research (NIHR) Imperial Biomedical Centre (BRC).
Language: Английский
Citations
5
Cancers, Journal Year: 2024, Volume and Issue: 16(2), P. 346 - 346
Published: Jan. 13, 2024
Lymphadenectomy is an essential part of complete surgical operation for non-small cell lung cancer (NSCLC). This retrospective, multicenter cohort study aimed to identify factors that influence the lymphadenectomy quality. Data were obtained from Polish Lung Cancer Study Group Database. The primary endpoint was lobe-specific mediastinal lymph node dissection (L-SMLND). included 4271 patients who underwent VATS lobectomy stage IA NSCLC, operated between 2007 and 2022. L-SMLND performed in 1190 (27.9%). remaining 3081 (72.1%) did not meet criteria. Multivariate logistic regression analysis showed with PET-CT (OR 3.238, 95% CI: 2.315 4.529; p < 0.001), larger tumors (pT1a vs. pT1b pT1c) 1.292; 1.009 1.653; = 0.042), those on by experienced surgeons 1.959, 1.432 2.679; 0.001) had a higher probability undergoing L-SMLND. quality decreased over time 0.647, 0.474 0.884; 0.006). An propensity-matched groups more extensive related in-hospital mortality, complication rates, hospitalization duration. Actions are needed improve NSCLC.
Language: Английский
Citations
4
Journal of Robotic Surgery, Journal Year: 2025, Volume and Issue: 19(1)
Published: March 3, 2025
Language: Английский
Citations
0
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(9), P. 3111 - 3111
Published: April 30, 2025
Background: Artificial intelligence (AI) is increasingly shaping the landscape of emergency surgery by offering real-time decision support, enhancing diagnostic accuracy, and optimizing workflows. However, its implementation raises significant ethical concerns, particularly regarding accountability, transparency, patient autonomy, bias. Objective: This perspective paper, grounded in a narrative review, explores dilemmas associated with AI proposes future directions for responsible equitable integration. Methods: A comprehensive review was conducted using PubMed, Scopus, Web Science, Google Scholar, covering literature published from January 2010 to December 2024. We focused on peer-reviewed articles discussing surgical or care highlighting ethical, legal, regulatory issues. thematic analysis used synthesize main challenges. Results: Key concerns identified include issues accountability AI-assisted decision-making, "black box" effect bias algorithmic design, data privacy protection, lack global coherence. Thematic domains were developed around beneficence, justice, informed consent. Conclusions: Responsible requires transparent explainable models, diverse representative datasets, robust consent frameworks, clear guidelines liability oversight. Interdisciplinary collaboration essential align technological innovation patient-centered ethically sound clinical practice.
Language: Английский
Citations
0
Diagnostics, Journal Year: 2023, Volume and Issue: 13(21), P. 3386 - 3386
Published: Nov. 5, 2023
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide indications but assessed accuracy yet. (2) Methods: We 100 robot-assisted partial nephrectomy videos durations based on previously defined proficiency metrics. developed an annotation framework subsequently compared our annotations to existing solution (Touch Surgery, Medtronic™). explored correlations between derived from treatment. (3) Results: An objective uniform assessment requires precise definitions iterative revision process. A comparison a shows large differences in across phases. BMI of renal tumor identification are positively correlated, as complexity both excision renorrhaphy duration. (4) Conclusions: can be correlated certain outcomes. Further research should investigate whether retrieved also clinically meaningful. This increase dataset sizes facilitation through intelligent computer vision algorithms. Commercial facilitate this expansion help unlock full potential, provided that details disclosed.
Language: Английский
Citations
6
Annals of Surgery, Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 23, 2024
Objective: Develop a pioneer surgical anonymization algorithm for reliable and accurate real-time removal of out-of-body images, validated across various robotic platforms. Summary Background data / Background: The use video has become common practice in enhancing research training. Video sharing requires complete anonymization, which, the case endoscopic surgery, entails all nonsurgical frames where endoscope can record patient or operating room staff. To date, no openly available algorithmic solution offers streaming, which is also robotic-platform- procedure-independent. Methods: A dataset 63 videos 6 procedures performed on four systems was annotated sequences. resulting 496.828 images were used to develop deep learning that automatically detected frames. Our subsequently benchmarked against existing methods. In addition, we offer post-processing step enhance performance test low-cost setup during live surgery streaming. Results: Framewise yielded an ROC AUC-score 99.46% unseen procedures, increasing 99.89% after post-processing. Robotic Anonymization Network (ROBAN) outperforms previous state-of-the-art algorithms, even procedural types, despite fact alternative solutions are explicitly trained using these procedures. Conclusions: model ROBAN reliable, accurate, safe complex lengthy regardless platform. be streaming available.
Language: Английский
Citations
2
British journal of surgery, Journal Year: 2024, Volume and Issue: 111(4)
Published: Feb. 29, 2024
Journal Article Role of robotics as a key platform for digital advancements in surgery Get access Pieter De Backer, Backer ORSI Academy asl, Mellle, Oost-Vlaanderen, BelgiumDepartment Urology, UZ Gent, Belgium Search other works by this author on: Oxford Academic Google Scholar Felix Nickel General, Visceral and Transplantation Surgery, University Heidelberg Hospital, Heidelberg, GermanyGeneral, Visceral, Thoracic Medical Center Hamburg-Eppendorf, Hamburg, Germany Correspondence to: Nickel, Martinistrasse 52, 20246 Germany. (e-mail: [email protected]) https://orcid.org/0000-0001-6066-8238 British Volume 111, Issue 4, April 2024, znae064, https://doi.org/10.1093/bjs/znae064 Published: 04 2024
Language: Английский
Citations
2
Revista do Colégio Brasileiro de Cirurgiões, Journal Year: 2023, Volume and Issue: 50
Published: Jan. 1, 2023
Citations
2
Annals of Surgery Open, Journal Year: 2024, Volume and Issue: 5(3), P. e459 - e459
Published: July 2, 2024
Introduction: This study aimed to identify research areas that demand attention in multimodal data-driven surgery for improving data management minimally invasive surgery. Background: New surgical procedures, high-tech equipment, and digital tools are increasingly being introduced, potentially benefiting patients teams. These innovations have resulted operating rooms evolving into data-rich environments, which, turn, requires a thorough understanding of the pipeline improved more intelligent real-time usage. As this new domain is vast, it necessary where efforts should be focused on developing seamless practical Methods: A modified electronic Delphi approach was used; 53 investigators were divided following groups: group (n=9) problem identification narrative literature review, medical technical expert (n=14) validation, an invited panel (n=30) two survey rounds. Round 1 consensus regarding bottlenecks science gaps, while round 2 prioritized statements from 1, roadmap created based identified essential very important gaps. Results: Consensus panelists key areas, including digitizing room (OR) activities, streaming through advanced technologies, uniform protocols handling data, integrating AI efficiency safety. The prioritizes standardizing OR formats, with patient information, ensuring regulatory compliance, models, securing transfers next generation wireless networks. Conclusions: work international current issues targets promising field surgery, highlighting needs many stakeholders aim facilitating implementation novel care strategies
Language: Английский
Citations
0