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Informing a Position Statement on the Use of Large Language Models and AI Scribes in Dermatology in Australia
Liam J Caffery1,2,3, Monica L Taylor1,2, Lisa M Abbott4,5
1Centre for Online Health, The University of Queensland, Brisbane, Queensland, Australia.
Artificial Intelligence (AI) has rapidly advanced, especially with Large Language Models (LLMs). This article updates guidance for Australian dermatologists on AI tools like AI scribes.
Area of Science:
- Dermatology
- Medical Informatics
- Artificial Intelligence
Background:
- The Australasian College of Dermatologists issued its first AI in dermatology position statement in 2022.
- The field of Artificial Intelligence (AI) has seen substantial evolution since 2022, notably with Large Language Models (LLMs).
- AI tools, including AI scribes, are increasingly utilized in clinical practice.
Purpose of the Study:
- To explore key AI developments driven by LLMs in dermatology.
- To provide updated guidance for Australian dermatologists on the appropriate use of AI.
- To address the evolving AI landscape and its implications for dermatological practice.
Main Methods:
- Review of recent advancements in AI, focusing on LLM-driven technologies.
- Analysis of the impact of AI scribes and other emerging AI tools in dermatology.
- Synthesis of current literature and expert opinion to inform updated guidance.
Main Results:
- LLMs have significantly advanced AI capabilities relevant to dermatology.
- AI scribes are becoming more prevalent, offering potential benefits for documentation.
- The rapid evolution necessitates continuous reassessment of AI's role and appropriate use.
Conclusions:
- Dermatologists in Australia require updated guidance on leveraging AI, particularly LLM-based tools.
- The integration of AI, such as AI scribes, should be approached with an understanding of current capabilities and limitations.
- Ongoing education and policy updates are crucial for the responsible adoption of AI in dermatology.
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