ArticleBJUI compass2024
Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study.
Article in BJUI compass, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Agreement and precision of an AI-based measurement tool during robotic-assisted sleeve gastrectomy.Surgical endoscopy · 2026Article
- Reply to: Surgical scene understanding and the emerging challenge of independent validation in an industry-led AI ecosystem.NPJ digital medicine · 2026Article
- Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026Review
- Concordance among experts in assessing apical mucosal preservation during holmium laser enucleation of the prostate (HoLEP): implications for artificial intelligence model development.World journal of urology · 2025Article
- Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study.BJUI compass · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The objectives of this study are to compare the accuracy of warm ischemia times (WITs) derived by a surgical artificial intelligence (AI) software to those documented in surgeon operative reports during partial nephrectomy procedures and to assess the potential of this technology in evaluating postoperative renal function. Patients and methods: A surgical AI software (Theator Inc., Palo Alto, CA) was used to capture and analyse videos of partial nephrectomies performed between October 2023 and April 2024. The platform utilized computer vision algorithms to detect clamp placement and removal, enabling precise WIT measurement. Expert-reviewed surgical videos served as the ground truth. Platform-derived WITs were compared to those in surgeon operative reports using paired-sample Results: Of 64 eligible cases, 61 were included in the final analysis. Platform-derived WITs were within 1 min of the ground truth in all procedures, within 30 s in 97%, and within 10 s in over 80%. The mean difference between platform-derived WITs and ground truth was 8.3 s, significantly lower than the 2.45 min difference for operative reports ( Conclusion: This study demonstrates the high accuracy of a surgical intelligence platform in measuring WIT during partial nephrectomies. The findings support the use of AI-based surgical time measurement for precise intraoperative documentation and highlight the potential of integrating these data with EHRs to advance research on surgical outcomes.
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Registered trials
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