Evidence map›Paper›PMID 40897379›Full record

ReviewAnnals of the New York Academy of Sciences2025

Emerging innovation, artificial intelligence, and digital technology in esophagology.

Eric D Shah, Austin L Chiang, Hon Chi Yip, Jacques Marescaux, Lee Swanstrom, Rishindra M Reddy, Pierfrancesco Visaggi, Kristle L Lynch

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Eric D ShahUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3611-8628
Austin L ChiangThomas Jefferson University, Philadelphia, Pennsylvania, USA.
Hon Chi YipThe Chinese University of Hong Kong, Hong Kong, Hong Kong.
Jacques MarescauxIRCAD and University of Strasbourg, Strasbourg, France.
Lee SwanstromIRCAD and University of Strasbourg, Strasbourg, France.
Rishindra M ReddyUniversity of Michigan, Ann Arbor, Michigan, USA.
Pierfrancesco VisaggiUniversity of Pisa, Pisa, Italy.
Kristle L LynchUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5481-2499

Funding

Guideline to Implementation: A Rapid Clinical Care Pathway to Care for Patients Affected by Chronic ConstipationK23DK134752 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Eric Dinesh Shah · 2023 to 2026
$776k
NIDDK NIH HHS DK134752NIDDK NIH HHS K23 DK134752
6 · The paper itself

Abstract

New medical technology and techniques provide opportunities for better, faster care for patients with esophageal diseases, spanning robotics and minimally invasive techniques, artificial intelligence, medical devices, and digital health that are changing how to diagnose and manage patients with both benign and malignant esophageal diseases. We conducted a concise narrative review of recent advances in esophagology from the perspectives of innovators and physicians alike, with an emphasis on ensuring the environment around successful innovation over the next decade. To our knowledge, this is the first innovation-oriented review centered on the clinical field of esophagology, focusing on applicable content and knowledge gaps across the several individual domains covered in this review.

Indexed as

Artificial IntelligenceDigital TechnologyEsophageal DiseasesInventionsHumansachalasiaesophageal diseasesgastroesophageal refluxGERDinnovationminimally invasive surgerythoracic surgery

Identifiers

PMID40897379
PMCPMC12576866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.