ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2026
Feasibility and Safety of Cross-Regional 5G-Enabled Remote Robot-Assisted Laparoscopic Surgery: A Retrospective Case Series of 21 Patients.
Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Remote robotic urological surgery with the Toumai® System across 25-7,000 km: a systematic review and single-arm meta-analysis of technical success and reported safety.Journal of robotic surgery · 2026Pooled it
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Authors and funding
3 authors.
Funding
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Abstract
backgroundTo address surgical resource scarcity in remote areas, we assessed the feasibility, safety, network stability, and training impact of 5G-enabled remote robot assisted laparoscopic surgery.
methodsRetrospective analysis of 21 consecutive patients (Oct 2023-Sep 2025) undergoing remote surgery from Zhejiang to Xinjiang (3700 km) using the Toumai robot with a redundant 5G network. Primary endpoint was technical success; secondary endpoints included operative outcomes, complications, network metrics, and OSATS scores.
resultsTechnical success was 100%. Procedures included partial nephrectomy (8), cholecystectomy (4), hysterectomy (3), prostatectomy (2), colorectal resection (2), and liver segmentectomy (2). Mean operative time 158.5 ± 42.0 min, console time 91.7 ± 26.6 min, blood loss 69.8 ± 40.2 mL. Two minor complications occurred. Mean round-trip latency 37.7 ± 5.6 ms, no packet loss. OSATS improved from 64.6 ± 7.1 to 87.9 ± 4.6.
conclusionsWith redundant 5G and local backup, remote robotic surgery is feasible and safe and may facilitate training.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.