Large Language Models can Help with Biostatistics and Coding Needed in Radiology Research.

Journal: Academic radiology
PMID: 39406582

Abstract

INTRODUCTION: Original research in radiology often involves handling large datasets, data manipulation, statistical tests, and coding. Recent studies show that large language models (LLMs) can solve bioinformatics tasks, suggesting their potential in radiology research. This study evaluates an LLM's ability to provide statistical and deep learning solutions and code for radiology research.

Authors

  • Adarsh Ghosh
    Department of Radiodiagnosis and Imaging, AIIMS, New Delhi, India. Electronic address: adarsh11g11@icloud.com.
  • Hailong Li
    College of Energy, Xiamen University, Xiamen, 361005 People's Republic of China.
  • Andrew T Trout
    Department of Radiology, Division of Thoracoabdominal Imaging, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave., Cincinnati, OH, 45229-3039, USA.

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