Evidence map›Paper›PMID 41459571›Full record

ArticleJournal of pathology informatics2025

The AI-powered pathologist: A global survey mapping initial trends in AI adoption and outlook.

Meredith K Herman, Sania Qazi, Elisa Farrell, Julie Song, Matthew Cecchini, Kamran M Mirza, Marilyn M Bui, Sean M Hacking

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pathology informatics, 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.

Meredith K HermanUniversity of Michigan Department of Pathology, Ann Arbor, MI, United States of America.
Sania QaziMercer University School of Medicine, Macon, GA, United States of America.
Elisa FarrellMercer University School of Medicine, Macon, GA, United States of America.
Julie SongImperial College School of Medicine, London, UK.
Matthew CecchiniLondon Health Sciences Centre Western University, London, Ontario, Canada.
Kamran M MirzaUniversity of Michigan Department of Pathology, Ann Arbor, MI, United States of America.
Marilyn M BuiMoffitt Cancer Center, Tampa, FL, United States of America.
Sean M HackingNYU Grossman School of Medicine Department of Pathology, New York, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise of artificial intelligence (AI)-driven tools like ChatGPT is transforming professional fields, including pathology. This study provides early insights into how pathology trainees and practicing pathologists are integrating AI into their training and clinical practice. To assess adoption, usage patterns, perceptions, and challenges related to AI-driven tools, including large language models and vision-language models, among pathology professionals. The study also explores future directions for AI integration. A cross-sectional, anonymous survey was distributed electronically to pathology residents, fellows, and attending pathologists through the Accreditation Council for Graduate Medical Education program director registry, professional organizations, and social media (X, Reddit, LinkedIn, and

Indexed as

AI-driven toolsArtificial intelligenceChatGPTPathologySurvey

Identifiers

PMID41459571
PMCPMC12743527

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.