Publication Name	World Journal of Methodology
Manuscript ID	92802
Country	India

Category	Computer Science, Artificial Intelligence
Manuscript Type	Observational Study
Article Title	Comparative evaluation of artificial intelligence systems' accuracy in providing medical drug dosages: A methodological study
Manuscript Source	Invited Manuscript
All Author List	Swaminathan Ramasubramanian, Sangeetha Balaji, Tejashri Kannan, Naveen Jeyaraman, Shilpa Sharma, Filippo Migliorini, Suhasini Balasubramaniam and Madhan Jeyaraman
Funding Agency and Grant Number
Corresponding Author	Madhan Jeyaraman, MS, PhD, Assistant Professor, Research Associate, Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Velappanchavadi, Chennai 600077, Tamil Nadu, India. madhanjeyaraman@gmail.com
Key Words	Large language models; Healthcare; Drug dosage; ChatGPT; Artificial intelligence; Dosage calculation
Core Tip	This study reveals ChatGPT 4's superior accuracy in providing medical drug dosage information, highlighting the potential of artificial intelligence (AI) to aid healthcare professionals in minimizing medication errors. The analysis, based on Harrison's Principles of Internal Medicine, underscores the need for ongoing AI development to ensure reliability in critical medical situations. Variations in disease-specific and organ system accuracies suggest areas for improvement and continuous refinement of AI systems in medicine.
Citation	<p>Ramasubramanian S, Balaji S, Kannan T, Jeyaraman N, Sharma S, Migliorini F, Balasubramaniam S, Jeyaraman M. Comparative evaluation of artificial intelligence systems' accuracy in providing medical drug dosages: A methodological study. <i>World J Methodol</i> 2024; 14(4): 92802</p>

Received	2024-02-06 04:37
Peer-Review Started	2024-02-06 04:37
To Make the First Decision
Return for Revision	2024-05-24 06:42
Revised	2024-05-29 09:52
Second Decision	2024-06-25 02:51
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-06-25 09:45
Articles in Press	2024-06-25 09:45
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-07-02 05:14
Typeset the Manuscript	2024-07-19 11:17

ISSN	2222-0682 (online)
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