Evidence map›Paper›PMID 41367158›Full record

ArticleThe Laryngoscope2026

Are There Best Ways to Respond to a Patient With an AI-Generated Answer You May Disagree With?

Priyanka K Bisarya, Katherine A Hom, David B Hom

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Laryngoscope, 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

3 authors.

Priyanka K BisaryaDepartment of Otolaryngology, Head and Neck Surgery and Jacobs Center for Health Innovation, University of California San Diego, San Diego, California, USA.ORCID https://orcid.org/0000-0002-6974-2227
Katherine A HomDepartment of Integrative Medicine, Susan Samueli Integrative Health Institute, University of California, Irvine, Irvine, California, USA.
David B HomDepartment of Otolaryngology, Head and Neck Surgery and Jacobs Center for Health Innovation, University of California San Diego, San Diego, California, USA.

Funding

Otolaryngology Training in Immunology, Virology and Molecular BiologyR25DC020173 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joseph A Califano · 2022 to 2026
$1.4M
NIDCD NIH HHS R25 DC020173
6 · The paper itself

Abstract

With the increasing use of generative artificial intelligence by patients, discrepancies in discussion can arise during the patient-physician clinic visit. This paper seeks to address practical guidelines for responding during a clinical encounter in which the physician disagrees with an AI-generated medical answer brought forth by a patient.

Indexed as

Artificial IntelligenceOtolaryngologyPhysician-Patient RelationsGenerative Artificial IntelligenceHumansPatient Education as Topicartificial intelligencecomprehensive otolaryngologymedical educationpatient carepatient education

Identifiers

PMID41367158
PMCPMC13460941

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.