Assessing the accuracy and efficiency of Chat GPT-4 Omni (GPT-4o) in biomedical statistics: Comparative study with traditional tools.

Journal: Saudi medical journal
PMID: 39658118

Abstract

OBJECTIVES: To assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration of Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with the potential to analyze sophisticated and extensive data sets, challenging the expertise of statisticians using traditional statistical tools for data analysis.

Authors

  • Anusha S Meo
    From the The School of Medicine (AS Meo), Medical Sciences and Nutrition, University of Aberdeen, Scotland, United Kingdom; from the College of Medicine (Shaikh), King Saud University; and from the Department of Physiology (SA Meo), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.
  • Narmeen Shaikh
    From the The School of Medicine (AS Meo), Medical Sciences and Nutrition, University of Aberdeen, Scotland, United Kingdom; from the College of Medicine (Shaikh), King Saud University; and from the Department of Physiology (SA Meo), College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.
  • Sultan A Meo
    From the Department of Physiology, College of Medicine, King Saud University (S. Meo); from the College of Medicine, Alfaisal University (AbuKhalaf, M.Z. Meo, M.O. Meo); from the Department of Science, College of Science (Ayub); from the Department of Family Medicine (ElToukhy); from the Department of Medicine (Usmani); from the Department of Surgery (Hajjar), College of Medicine, King Saud University. Riyadh, Kingdom of Saudi Arabia.

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