Evidence map›Paper›PMID 42575930›Full record

ArticleNPJ digital medicine2026

Reply to: Surgical scene understanding and the emerging challenge of independent validation in an industry-led AI ecosystem.

Matthias Carstens, Shubha Vasisht, Zheyuan Zhang, Iulia Barbur, Annika Reinke, Lena Maier-Hein, Daniel A Hashimoto, Fiona R Kolbinger

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthias CarstensWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Shubha VasishtDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Zheyuan ZhangWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Iulia BarburDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Annika ReinkeDivision of Intelligent Medical Systems (IMSY), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Lena Maier-HeinDivision of Intelligent Medical Systems (IMSY), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel A HashimotoDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Fiona R KolbingerWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. fiona.kolbinger@tu-dresden.de.ORCID http://orcid.org/0000-0003-2265-4809

Funding

Indiana Clinical and Translational Sciences InstituteUM1TR004402 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI Sharon M Moe, Sarah Elizabeth Wiehe · 2023 to 2026
$21.6M
Deutsches Krebsforschungszentrum CoBot 2.0Jung-Stiftung für Wissenschaft und Forschung Jung Career Advancement AwardNCATS NIH HHS UM1 TR004402University of Pennsylvania Linda Pechenik Montague Award
6 · The paper itself

Abstract

In this reply to MacAonghusa and Cahill, we reflect on fundamental validation challenges in AI-enabled surgical scene understanding and propose key priorities that academic, clinical, and industry stakeholders must collaboratively address to achieve safe and impactful clinical translation of surgical video AI: First, tying descriptive analytics to outcomes that matter to patients or surgical teams, second, establishing longitudinal, multimodal, and outcome-linked data infrastructure, and third, implementation research.

Identifiers

PMID42575930
PMCPMC13457565

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LicenceCC BY
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Registered trials

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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.