Evidence map›Paper›PMID 27647327›Full record

SynthesisInternational journal of computer assisted radiology and surgery2017

Touchless interaction with software in interventional radiology and surgery: a systematic literature review.

André Mewes, Bennet Hensen, Frank Wacker, Christian Hansen

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 106 citations in OpenAlex.

  1. Pooled it
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  10. Artificial Intelligence in Interventional Radiology.Seminars in interventional radiology · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

André MewesFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany. andre.mewes@ovgu.de.ORCID http://orcid.org/0000-0001-9559-2667
Bennet HensenInstitute for Diagnostic and Interventional Radiology, Medical School Hanover, Hanover, Germany.
Frank WackerInstitute for Diagnostic and Interventional Radiology, Medical School Hanover, Hanover, Germany.
Christian HansenFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany.
Medizinische Hochschule Hannover · DEUniversity Hospital Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn this article, we systematically examine the current state of research of systems that focus on touchless human-computer interaction in operating rooms and interventional radiology suites. We further discuss the drawbacks of current solutions and underline promising technologies for future development.

methodsA systematic literature search of scientific papers that deal with touchless control of medical software in the immediate environment of the operation room and interventional radiology suite was performed. This includes methods for touchless gesture interaction, voice control and eye tracking.

resultsFifty-five research papers were identified and analyzed in detail including 33 journal publications. Most of the identified literature (62 %) deals with the control of medical image viewers. The others present interaction techniques for laparoscopic assistance (13 %), telerobotic assistance and operating room control (9 % each) as well as for robotic operating room assistance and intraoperative registration (3.5 % each). Only 8 systems (14.5 %) were tested in a real clinical environment, and 7 (12.7 %) were not evaluated at all.

conclusionIn the last 10 years, many advancements have led to robust touchless interaction approaches. However, only a few have been systematically evaluated in real operating room settings. Further research is required to cope with current limitations of touchless software interfaces in clinical environments. The main challenges for future research are the improvement and evaluation of usability and intuitiveness of touchless human-computer interaction and the full integration into productive systems as well as the reduction of necessary interaction steps and further development of hands-free interaction.

Indexed as

GesturesSoftwareUser-Computer InterfaceHumansLaparoscopyOperating RoomsRadiology, InterventionalRoboticsRobotic Surgical ProceduresSurgical Procedures, OperativeVoiceEye trackingGesturesHuman–computer interactionOperating roomsRoboticsSpeech recognition softwareTouchless interaction

Identifiers

PMID27647327
OpenAlexW2521766633

What OpenQuestion holds

Textmetadata
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.