ArticleJapanese journal of clinical oncology2025
Validation of objective performance metrics via an intelligent medical network in gynecological oncology robotic surgery.
Article in Japanese journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Fundamental kinematic indicators predict surgical expertise and clinical outcomes in robot-assisted surgery.NPJ digital medicine · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundAutomated performance metrics (APMs) are potentially useful to accurately assess and improve surgeon skills and patient outcomes, while their clinical use is currently limited. We report on the use of the Medicaroid Intelligent Network System (MINS™), a network support system platform used together with the "hinotori" surgical robot system (hinotori™) for the collection of data logs from surgeries, and discuss its potential to improve surgical outcomes.
methodsThis study prospectively evaluated the efficacy of MINS™ for collecting data logs in gynecologic oncologic robotic surgery between December 2022 and February 2024 in nine patients. MINS™ regularly communicated with the hinotori™ via a secure network to collect and send system logs to a cloud server, quantifying various performance data for the evaluation of surgical outcomes.
resultsClinical data on hinotori™ movement were successfully extracted. The number of operation arm (OA) changes was significantly higher in Patient No. 7, who underwent pelvic lymph node dissection. OA3 monopolar was used more frequently than OA1 bipolar for coagulation (mean: 6.7% vs 2.5%, P ˂0.001). The error count and percentage of inactive time associated with OA collisions decreased dramatically after Patient No. 6, following the version upgrade in July 2024.
conclusionMINS™ utilizes technology to connect the hinotori™ to various systems via the Internet, allowing objective evaluations of surgical procedures from data logs. MINS™ is a clinically applicable APM system that objectively analyzes a surgeon's individuality and has the potential to improve surgical techniques and promote standardization.
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