Evidence map›Paper›PMID 38180541›Full record

ArticleSurgical endoscopy2024

Defining digital surgery: a SAGES white paper.

SAGES Digital Surgery Working Group, Jawad T Ali, Gene Yang, Courtney A Green, Benjamin L Reed, Amin Madani, Todd A Ponsky, Jeffrey Hazey, Steven S Rothenberg, Christopher M Schlachta and 2 more

Abstract readConsensus Statement
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. 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

12 authors.

SAGES Digital Surgery Working Group
Jawad T AliUniversity of Texas at Austin, Austin, TX, USA.
Gene YangUniversity at Buffalo, Buffalo, NY, USA.
Courtney A GreenYuma Regional Medical Center, Yuma, AZ, USA.
Benjamin L ReedPrisma Health, Greenville, SC, USA.
Amin MadaniUniversity of Toronto, Toronto, ON, Canada.
Todd A PonskyCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Jeffrey HazeyMemorial Health, Marysville, OH, USA.
Steven S RothenbergRocky Mountain Hospital for Children, Denver, CO, USA.
Christopher M SchlachtaSchulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Dmitry OleynikovMonmouth Medical Center, Robert Wood Johnson Barnabas Health, Rutgers School of Medicine, Long Branch, NJ, USA.
Nova SzokaDepartment of Surgery, West Virginia University, Suite 7500 HSS, PO Box 9238, Morgantown, WV, 26506-9238, USA. nova.szoka@hsc.wvu.edu.ORCID 0000-0002-9117-0237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital surgery is a new paradigm within the surgical innovation space that is rapidly advancing and encompasses multiple areas.

methodsThis white paper from the SAGES Digital Surgery Working Group outlines the scope of digital surgery, defines key terms, and analyzes the challenges and opportunities surrounding this disruptive technology.

resultsIn its simplest form, digital surgery inserts a computer interface between surgeon and patient. We divide the digital surgery space into the following elements: advanced visualization, enhanced instrumentation, data capture, data analytics with artificial intelligence/machine learning, connectivity via telepresence, and robotic surgical platforms. We will define each area, describe specific terminology, review current advances as well as discuss limitations and opportunities for future growth.

conclusionDigital Surgery will continue to evolve and has great potential to bring value to all levels of the healthcare system. The surgical community has an essential role in understanding, developing, and guiding this emerging field.

Indexed as

Robotic Surgical ProceduresSurgeonsArtificial IntelligenceForecastingHumansMachine LearningArtificial intelligenceDigital surgeryImagingInnovationRobotic surgeryTelemedicine

Identifiers

What OpenQuestion holds

Textmetadata
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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.