Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance
- DOI
- 10.1186/s12911-026-03686-9
- Published
- 2026-07-07
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03686-9,
title = {Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance},
author = {Pouyan Esmaeilzadeh},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03686-9},
url = {https://doi.org/10.1186/s12911-026-03686-9}
}RIS
TY - JOUR TI - Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance AU - Pouyan Esmaeilzadeh PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03686-9 UR - https://doi.org/10.1186/s12911-026-03686-9 ER -
APA
Esmaeilzadeh, P. (2026). Augmenting medical data interpretation with Large Language Models (LLMs): a comparative analysis of patient empowerment, information processing, and technology acceptance. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03686-9
Source records
- crossref · retrieved 2026-09-26T17:37:38.680Z