Evaluating Microsoft Bing with ChatGPT-4 for the assessment of abdominal computed tomography and magnetic resonance images.

Alperen Elek Duygu Doğa Ekizalioğlu Ezgi Guler

Published in: Diagnostic and interventional radiology (Ankara, Turkey) (2024)

The contribution of large language models (LLMs) to the diagnostic process in radiology is still being explored. However, with a comprehensive understanding of their capabilities and limitations, LLMs can significantly support radiologists during diagnosis and improve the overall efficiency of abdominal radiology practices. Acknowledging the limitations of current studies related to ChatGPT in this field, our work provides a foundation for future clinical research, paving the way for more integrated and effective diagnostic tools.

Keyphrases

artificial intelligence
magnetic resonance
computed tomography
deep learning
healthcare
machine learning
primary care
contrast enhanced
positron emission tomography
magnetic resonance imaging
convolutional neural network
autism spectrum disorder
optical coherence tomography
case control
image quality
drug induced