Evidence map›Paper›PMID 27520552›Full record

SynthesisBiomedical engineering online2016

Medical telerobotic systems: current status and future trends.

Sotiris Avgousti, Eftychios G Christoforou, Andreas S Panayides, Sotos Voskarides, Cyril Novales, Laurence Nouaille, Constantinos S Pattichis, Pierre Vieyres

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Biomedical engineering online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 164 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. A pilot experience on 5G telerobotic long-distance magnetic navigation-guided ablation for cardiac arrhythmias.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Lessons Learned from Natural Disasters around Digital Health Technologies and Delivering Quality Healthcare.International journal of environmental research and public health · 2023
    Review
  18. Article
  19. Tele-ultrasound in the Era of COVID-19: A Practical Guide.Ultrasound in medicine & biology · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Sotiris AvgoustiNursing Department, School of Health and Science, Cyprus University of Technology, 30 Archbishop Kyprianou Street, 3036, Limassol, Cyprus. sotiris.avgousti@cut.ac.cy.ORCID http://orcid.org/0000-0002-8427-9031
Eftychios G ChristoforouDepartment of Electrical and Computer Engineering, University of Cyprus, 75 Kalipoleos Street, P.O.BOX 20537, 1678, Nicosia, Cyprus.
Andreas S PanayidesDepartment of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, SW7 2AZ, UK.
Sotos VoskaridesDepartment of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, 30 Archbishop Kyprianou Street, 3036, Lemesos, Cyprus.
Cyril NovalesLaboratoire PRISME-Universite d'Orleans, 63 Avenue de Lattre de Tassigny, 18020, Bourges, France.
Laurence NouailleLaboratoire PRISME-Universite d'Orleans, 63 Avenue de Lattre de Tassigny, 18020, Bourges, France.
Constantinos S PattichisDepartment of Computer Science, University of Cyprus, 75 Kalipoleos Street, P.O.BOX 20537, 1678, Nicosia, Cyprus.
Pierre VieyresLaboratoire PRISME-Universite d'Orleans, 63 Avenue de Lattre de Tassigny, 18020, Bourges, France.
Université d'Orléans · FRUniversity of Cyprus · CYCyprus University of Technology · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Teleoperated medical robotic systems allow procedures such as surgeries, treatments, and diagnoses to be conducted across short or long distances while utilizing wired and/or wireless communication networks. This study presents a systematic review of the relevant literature between the years 2004 and 2015, focusing on medical teleoperated robotic systems which have witnessed tremendous growth over the examined period. A thorough insight of telerobotics systems discussing design concepts, enabling technologies (namely robotic manipulation, telecommunications, and vision systems), and potential applications in clinical practice is provided, while existing limitations and future trends are also highlighted. A representative paradigm of the short-distance case is the da Vinci Surgical System which is described in order to highlight relevant issues. The long-distance telerobotics concept is exemplified through a case study on diagnostic ultrasound scanning. Moreover, the present review provides a classification into short- and long-distance telerobotic systems, depending on the distance from which they are operated. Telerobotic systems are further categorized with respect to their application field. For the reviewed systems are also examined their engineering characteristics and the employed robotics technology. The current status of the field, its significance, the potential, as well as the challenges that lie ahead are thoroughly discussed.

Indexed as

RoboticsTelemedicineMedical roboticsmHealthSurgical roboticsTelemanipulationTelemedicineTeleoperationTelepresenceTelerobotics

Identifiers

PMID27520552
PMCPMC4983067
OpenAlexW2509798008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.