Breathe Easy
ATS Breathe Easy - AI's Impact on Pulmonary Research and Beyond
Feb 18, 2025
Nitin Seam, editor of ATS Scholar and a clinical professor at George Washington University, discusses AI's evolving role in medical research. He emphasizes how large language models might impact authorship and the publication process. The conversation explores the need for ethical considerations in using AI tools and the importance of adapting editorial policies. Seam also highlights AI's potential to revolutionize medical education while addressing concerns about accuracy and biases. Can AI enhance healthcare training? Tune in to find out!
31:06
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Quick takeaways
- The ATS is redefining its journal guidelines to address transparency and accountability regarding the use of AI in research submissions.
- Exploring LLM applications in clinical settings could improve medical education and patient care while requiring continuous policy adaptations.
Deep dives
Understanding Large Language Models (LLMs)
Large language models (LLMs) are advanced AI systems designed to understand and generate human language. They are trained on extensive text data to predict plausible responses based on the context of the input. A notable example discussed is ChatGPT, which utilizes the Generative Pre-Trained Transformer framework to produce coherent and contextually relevant language outputs. The excitement surrounding LLMs in the medical field reflects their potential for various applications, although it highlights the need for medicine to keep pace with technological advancements.
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