ReviewJournal of robotic surgery2024
AI solutions for overcoming delays in telesurgery and telementoring to enhance surgical practice and education.
Review in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence applications in surgical education and training: a systematic review.Frontiers in artificial intelligence · 2026Pooled it
- Global research trends and hotspots of robot-assisted urological telesurgery: a bibliometric analysis.Journal of robotic surgery · 2026Article
- Beyond robotic platforms: artificial intelligence and the emergence of intelligent surgical ecosystems in colorectal surgery.Journal of robotic surgery · 2026Review
- Telesurgery and remote surgery research: a bibliometric analysis of scientific growth, collaboration, and thematic evolution.Journal of robotic surgery · 2026Article
- Artificial intelligence and machine learning in robotic, teleoperated, and remote surgery: a bibliometric and knowledge mapping analysis (2015-2025).Journal of robotic surgery · 2026Review
- System-level evaluation of 5G standalone communication infrastructure for robotic telesurgery.International journal of computer assisted radiology and surgery · 2026Article
- Surgery for interplanetary space missions.The British journal of surgery · 2026Review
- LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.MedComm · 2026Article
- Emerging technologies in thoracic surgery: artificial intelligence, robotic-assisted surgery, and telesurgery.Frontiers in surgery · 2026Review
- The application of robotic and artificial intelligence technologies in spinal surgery: a review focused on prospects in remote areas of China.Journal of robotic surgery · 2025Review
- Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks.Scientific reports · 2025Article
- Best practices in telesurgery: framework and recommendations from the society of robotic surgery (SRS) for safe and effective implementation.Journal of robotic surgery · 2025Review
- Artificial Intelligence in Microsurgical Planning: A Five-Year Leap in Clinical Translation.Journal of clinical medicine · 2025Review
- The legal and ethical considerations in cross-border telesurgical procedures.Annals of medicine and surgery (2012) · 2025Review
- A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model.Sensors (Basel, Switzerland) · 2025Article
- Telesurgery: current status and strategies for latency reduction.Journal of robotic surgery · 2025Review
- Telemedicine and the European Health Data Space: a new paradigm for healthcare in the EU.Frontiers in digital health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Artificial intelligence (AI) has emerged as a transformative tool in surgery, particularly in telesurgery and telementoring. However, its potential to enhance data transmission efficiency and reliability in these fields remains unclear. While previous reviews have explored the general applications of telesurgery and telementoring in specific surgical contexts, this review uniquely focuses on AI models designed to optimise data transmission and mitigate delays. We conducted a comprehensive literature search on PubMed and IEEE Xplore for studies published in English between 2010 and 2023, focusing on AI-driven, surgery-related, telemedicine, and delay-related research. This review includes methodologies from journals, conferences, and symposiums. Our analysis identified a total of twelve AI studies that focus on optimising network resources, enhancing edge computing, and developing delay-robust predictive applications. Specifically, three studies addressed wireless network resource optimisation, two proposed low-latency control and transfer learning algorithms for edge computing, and seven developed delay-robust applications, five of which focused on motion data, with the remaining two addressing visual and haptic data. These advancements lay the foundation for a truly holistic and context-aware telesurgical experience, significantly transforming remote surgical practice and education. By mapping the current role of AI in addressing delay-related challenges, this review highlights the pressing need for collaborative research to drive the evolution of telesurgery and telementoring in modern robotic surgery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.