Background Differential diagnosis in radiology is a critical aspect of clinical decision-making.
Radiologists in the early stages may find difficulties in listing the differential diagnosis from …

Feasibility of Differential Diagnosis Based on Imaging Patterns Using a Large Language Model
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Abstract Purpose Large language models (LLMs) are rapidly advancing and demonstrating
high performance in understanding textual information, suggesting potential applications in …

Background The diagnostic abilities of multimodal large language models (LLMs) using
direct image inputs and the impact of the temperature parameter of LLMs remain …

Background The use of large language models (LLM) has recently gained popularity in
diverse areas, including answering questions posted by patients as well as medical …

To the Editor, We read with great interest the article by Javan et al., published in the May
2023 issue of CardioVascular and Interventional Radiology, which assessed ChatGPT's …

Background and purpose Large language models (LLMs) have seen explosive growth, but
their potential role in medical applications remains underexplored. Our study investigates …

With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

With the advent of large language models (LLMs), the artificial intelligence revolution in
medicine and radiology is now more tangible than ever. Every day, an increasingly large …

Purpose: To investigate and compare the diagnostic performance of ChatGPT 3.5, Google
Bard, Microsoft Bing, and two board-certified radiologists in thoracic radiology cases …