The Emerging Role of Generative Artificial Intelligence in Medical Education, Research, and Practice

Area of Science:

• Medical Informatics
• Artificial Intelligence in Medicine
• Healthcare Technology

Background:

• Generative artificial intelligence (GAI) and large language models (LLMs) like ChatGPT are rapidly advancing.
• These AI technologies present significant opportunities to revolutionize healthcare.

Purpose of the Study:

• To examine current trends in the application of GAI in medicine.
• To outline the strengths and limitations of GAI in healthcare settings.
• To emphasize the need for developing guidelines for GAI use.

Main Methods:

• Review of current literature and trends in GAI applications in medicine.
• Analysis of the capabilities and constraints of transformer-based LLMs in healthcare.

Main Results:

• GAI models show potential to transform medical education, research, and clinical practice.
• Current applications highlight both significant strengths and inherent limitations.

Conclusions:

• Consensus-based guidelines are imperative for the appropriate use of GAI.
• Guidelines should encompass medical education, research, scholarship, and clinical practice.
• Responsible implementation is key to harnessing GAI's benefits in medicine.