Remote Robotic Surgery, Telesurgery, 5G Network Safety, Latency, and Haptic Feedback: Scoping Review with ☸️SAIMSARA.

Name: SAIMSARA Evidence Object digital::REMOTE_ROBOTIC_SURGERY_SS
Creator: SAIMSARA
License: https://saimsara.com/license/

SAIMSARA

doi:10.62487/saimsara6d83bd41

SAIMSARA Journal

Machine-Readable Science • ISSN 3054-3991

Remote Robotic Surgery, Telesurgery, 5G Network Safety, Latency, and Haptic Feedback: Scoping Review with ☸️SAIMSARA.

Digital Health & Biotech

Issue 3, Volume 1, 2026

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DOI: 10.62487/saimsara6d83bd41

Editorial note

• Last update: 2026-05-26 13:37:38

What is this paper about

Remote robotic surgery is no longer science fiction: the evidence shows real feasibility across 5G telesurgery, neurovascular intervention, spine surgery, and remote mentoring, but only when latency, bandwidth, redundancy, cybersecurity, and feedback systems are treated as clinical safety infrastructure. The full evidence map shows where remote robotic surgery is already clinically credible, where it remains experimental, and which technical safeguards will determine whether distance-separated surgery becomes a safe medical service or only a technological demonstration.

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Video summary generated from this ☸️SAIMSARA evidence map. Full reference-linked paper and evidence JSON are available after purchase.

Abstract: To map and synthesize original studies relevant to remote robotic surgery, with emphasis on feasibility, safety, network performance, control strategies, haptic and visual feedback, mentoring workflows, and translational readiness across clinical and experimental settings. The review uses 151 references and builds its evidence map from 207 original studies with 4300 total participants/sample observations (topic-deduplicated ΣN). Across clinical, preclinical, and engineering studies, the dominant signal is that remote robotic surgery is technically feasible but conditionally safe, with outcomes tightly coupled to network performance, latency control, and feedback fidelity. Human cases completed without complications under tightly managed conditions, including 5G urological surgery with maximum latency 129.3 ms and remote nephrectomy with 26 ms median round-trip delay, whereas suboptimal 3-Mbps bandwidth degraded image quality and increased operator fatigue. The evidence supports a role for remote robotic surgery as a systems-level intervention requiring integrated network, haptic, and human-factors safeguards rather than a stand-alone clinical service. Redundant connectivity, predictive compensation, and remote-center-of-motion safety mechanisms emerged as recurrent enabling strategies. Future prospective multicenter studies with standardized network and safety reporting are needed to determine where remote robotic surgery delivers clinically meaningful benefit beyond feasibility.

Keywords: Remote robotic surgery; Telesurgery; 5G networks; Network latency; Tactile Internet; Haptic feedback; Packet loss; Remote proctoring; Augmented reality; Surgical training

Review Stats

Final search date and database lock: 2026-05-18 21:16:59 CEST
Plan: Pro (expanded craft tokens; source: Semantic Scholar)
Source: Semantic Scholar
Total Abstracts/Papers: 97518
Downloaded Abstracts/Papers: 1000
Included original and non-original Abstracts/Papers (all): 279
Included original Abstracts/Papers (Vote counting by direction of effect): 207
Reference Index (links used in paper): 151
Total participants/sample observations (topic deduplicated ΣN): 4300

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Reference Index (151)

[1] Deterministic and Dynamic Joint Placement and Scheduling of VNF-FGs for Remote Robotic Surgery — https://doi.org/10.1109/tnsm.2025.3539183
[2] A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model — https://doi.org/10.3390/s25103067
[3] Enhancing Precision in Tactile Internet-Enabled Remote Robotic Surgery: Kalman Filter Approach — https://doi.org/10.1109/iwcmc61514.2024.10592575
[4] Effects of communication delay in the dual cockpit remote robotic surgery system — https://doi.org/10.1007/s00595-023-02784-9
[5] Remote Robotic Surgery: Joint Placement and Scheduling of VNF-FGs — https://doi.org/10.23919/cnsm55787.2022.9964591
[6] A Machine Learning Framework for Handling Delayed/Lost Packets in Tactile Internet Remote Robotic Surgery — https://doi.org/10.1109/tnsm.2021.3106577
[7] A Framework for Predicting Haptic Feedback in Needle Insertion in 5G Remote Robotic Surgery — https://doi.org/10.1109/ccnc46108.2020.9045432
[8] Expert Consensus‐Based Technical Guidelines for Remote Robotic‐Assisted Surgery and Procedures — https://doi.org/10.1002/wjs.12653

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