Comparative evaluation of artificial intelligence systems' accuracy in providing medical drug dosages: A methodological study

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World Journal of Methodology

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2222-0682

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Methodol. Dec 20, 2024; 14(4): 92802
Published online Dec 20, 2024. doi: 10.5662/wjm.v14.i4.92802

Table 4 Detailed accuracy values for each organ system across the three Large Language Model

Organ system	ChatGPT 4	ChatGPT 3.5	Bard
Cardio vascular system, respiratory system	1.0000	0.6667	0.6667
Hematology	1.0000	1.0000	-1.0000
Respiratory	1.0000	0.3333	0.3333
Respiratory system	1.0000	1.0000	0.5000
Infectious diseases	0.8039	0.7451	0.2059
Immune system	0.6752	0.4188	0.2650
Central nervous system	0.6585	0.6220	0.5610
Hematological malignancies	0.6429	0.5714	0.4286
Cardio vascular system	0.6000	0.6667	0.3333
Endocrine system	0.5556	0.4444	0.5714
Renal	0.5556	0.3704	0.5185
Gastrointestinal tract	0.5385	0.2308	0.2308

Citation: 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. World J Methodol 2024; 14(4): 92802
URL: https://www.wjgnet.com/2222-0682/full/v14/i4/92802.htm
DOI: https://dx.doi.org/10.5662/wjm.v14.i4.92802

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. World J Methodol 2024; 14(4): 92802 [PMID: 39712564 DOI: 10.5662/wjm.v14.i4.92802]

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