Dosage adjustments in renal impairment among medical ward patients: ChatGPT® and DeepSeek® models' effectiveness in assessing those adjustments

Inappropriate renal dosing is prevalent among hospitalized patients with renal impairment. While AI models show promise as clinical decision support tools, their accuracy limitations require further optimization via evidence-based database training, prompt refinement, and integration of clinical expertise for reliable implementation.

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Publication Details

Journal
Exploratory Research in Clinical and Social Pharmacy
Published
2025-12-17
DOI
https://doi.org/10.1016/j.rcsop.2025.100698
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Dosage adjustments in renal impairment among medical ward patients: ChatGPT® and DeepSeek® models' effectiveness in assessing those adjustments

Exploratory Research in Clinical and Social Pharmacy
Artificial Intelligence in Healthcare and Education
article

Dosage adjustments in renal impairment among medical ward patients: ChatGPT® and DeepSeek® models' effectiveness in assessing those adjustments

article en

Abstract

Inappropriate renal dosing is prevalent among hospitalized patients with renal impairment. While AI models show promise as clinical decision support tools, their accuracy limitations require further optimization via evidence-based database training, prompt refinement, and integration of clinical expertise for reliable implementation.

Exploratory Research in Clinical and Social PharmacyVol. 21
Purbanchal University (NP), Manmohan Memorial Institute of Health Sciences (NP)
Peace, Justice and strong institutions
Openalex Percentile: Top 43%
Artificial Intelligence in Healthcare and Education
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