Evidence map›Paper›PMID 29799108›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

The intelligent OR: design and validation of a context-aware surgical working environment.

Stefan Franke, Max Rockstroh, Mathias Hofer, Thomas Neumuth

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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  2. Review
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  5. Review
  6. Automatic surgical phase recognition-based skill assessment in laparoscopic distal gastrectomy using multicenter videos.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  7. Article
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  9. A high-fidelity prototype of a sterile information system for the perioperative area: OR-Pad.International journal of computer assisted radiology and surgery · 2023
    Article
  10. Review
  11. Article
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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.

Stefan FrankeInnovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstraße 14, 04103, Leipzig, Germany. Stefan.franke@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0003-2101-9168
Max RockstrohInnovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstraße 14, 04103, Leipzig, Germany.
Mathias HoferDepartment of ENT Surgery, University Leipzig, Liebigstraße 14, 04103, Leipzig, Germany.
Thomas NeumuthInnovation Center Computer Assisted Surgery, University Leipzig, Semmelweisstraße 14, 04103, Leipzig, Germany.
Leipzig University · DELeipzig University of Applied Sciences · DE

Funding

Bundesministerium für Bildung und Forschung (DE) 16KT1236
6 · The paper itself

Abstract

purposeInteroperability of medical devices based on standards starts to establish in the operating room (OR). Devices share their data and control functionalities. Yet, the OR technology rarely implements cooperative, intelligent behavior, especially in terms of active cooperation with the OR team. Technical context-awareness will be an essential feature of the next generation of medical devices to address the increasing demands to clinicians in information seeking, decision making, and human-machine interaction in complex surgical working environments.

methodsThe paper describes the technical validation of an intelligent surgical working environment for endoscopic ear-nose-throat surgery. We briefly summarize the design of our framework for context-aware system's behavior in integrated OR and present example realizations of novel assistance functionalities. In a study on patient phantoms, twenty-four procedures were implemented in the proposed intelligent surgical working environment based on recordings of real interventions. Subsequently, the whole processing pipeline for context-awareness from workflow recognition to the final system's behavior is analyzed.

resultsRule-based behavior that considers multiple perspectives on the procedure can partially compensate recognition errors. A considerable robustness could be achieved with a reasonable quality of the recognition. Overall, reliable reactive as well as proactive behavior of the surgical working environment can be implemented in the proposed environment.

conclusionsThe obtained validation results indicate the suitability of the overall approach. The setup is a reliable starting point for a subsequent evaluation of the proposed context-aware assistance. The major challenge for future work will be to implement the complex approach in a cross-vendor setting.

Indexed as

Operating RoomsSurgery, Computer-AssistedHumansWorkflowContext-aware surgical assistanceDevice interoperabilityIntelligent operating roomSurgical workflow

Identifiers

PMID29799108
OpenAlexW2804781724

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.