Evidence map›Paper›PMID 42732147›Full record

ArticleDigital health

Patient use of AI chatbots: The overlooked frontline of health care.

Matthew Hutnyan

Abstract read
In one paragraph

Article in Digital health. 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

1 author.

Matthew HutnyanDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-5429-4484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of tailored AI health care applications has become a major research focus in recent years, but relatively little research has addressed current patient use of general-purpose AI chatbots for health-related tasks. Today, many people use AI chatbots to seek information and advice, make diagnoses, and inform or even receive intervention. The appeal is clear, but the benefits and risks are less so. While we build AI tools for the future of medicine, we must also gather empirical evidence regarding use and impact of existing tools.

Indexed as

artificial intelligencehealthhealth informaticsmedicinetechnology

Identifiers

PMID42732147
PMCPMC13570025

What OpenQuestion holds

Textmetadata
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.