ArticleAmerican journal of nuclear medicine and molecular imaging2025
Advancing patient education in PRRT through large language models: challenges and potential.
Article in American journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing use of artificial intelligence (AI) chatbots for patient education raises questions about their accuracy, readability, and conciseness in delivering medical information. This study evaluates the performance of ChatGPT 4o and DeepSeek V3 in answering common patient inquiries about Peptide Receptor Radionuclide Therapy (PRRT). Twelve frequently asked patient questions regarding PRRT were submitted to both chatbots. The responses were assessed by nine professionals using a blinded survey, scoring accuracy, conciseness, and readability on a five-point scale. Statistical analyses included the Mann-Whitney U test for nonparametric data and the Chi-square test for medically incorrect responses. A total of 324 individual assessments were conducted. No significant differences were found in accuracy between ChatGPT 4o (mean 4.43) and DeepSeek V3 (mean 4.56;
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.