Challenging cases of hyponatremia incorrectly interpreted by ChatGPT

Our study currently does not support the use of the free version ChatGPT 3.5 in difficult hyponatremia cases, but a small improvement was observed after ten months with the same ChatGPT 3.5 version. Patients, health professionals, medical educators and students should be aware of the shortcomings of diagnosis and therapy suggestions by ChatGPT.

Authors

Institutions

Publication Details

Journal
BMC Medical Education
Published
2025-05-22
DOI
https://doi.org/10.1186/s12909-025-07235-2
Primary Topic
Electrolyte and hormonal disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenging cases of hyponatremia incorrectly interpreted by ChatGPT

Kenrick Berend, Rijk O. B. Gans, Ashley J. Duits
BMC Medical Education
Electrolyte and hormonal disorders
article

Challenging cases of hyponatremia incorrectly interpreted by ChatGPT

Kenrick Berend, Rijk O. B. Gans, Ashley J. Duits
article en

Abstract

Our study currently does not support the use of the free version ChatGPT 3.5 in difficult hyponatremia cases, but a small improvement was observed after ten months with the same ChatGPT 3.5 version. Patients, health professionals, medical educators and students should be aware of the shortcomings of diagnosis and therapy suggestions by ChatGPT.

BMC Medical EducationVol. 25(1)
University Medical Center Groningen (NL), University of Groningen (NL), University of Curaçao (CW)
Gender equality
Openalex Percentile: Top 81%
Electrolyte and hormonal disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.