[Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging].

Area of Science:

• Artificial Intelligence
• Medical Imaging
• Radiology

Context:

• Generative artificial intelligence (AI), including large language models (LLMs) and multimodal AI, is rapidly advancing.
• These technologies can process and generate diverse data types like text, images, and voice.
• Multimodal AI integrates multiple data types, mirroring clinical practice in medicine.

Purpose:

• To review the concepts and types of LLMs, image generative AI, and multimodal AI.
• To examine the current status and future potential of generative AI in radiology.

Summary:

• Generative AI, encompassing LLMs and image generation, is a key area of AI development.
• Multimodal AI advances allow simultaneous processing of text and images, crucial for medical applications.
• The review explores LLMs, image generative AI, and multimodal AI, focusing on their role in radiology.

Impact:

• Generative AI holds significant potential to transform radiology through advanced data processing and analysis.
• Understanding these AI technologies is crucial for their effective integration into clinical workflows.
• Future applications may enhance diagnostic accuracy and efficiency in medical imaging.