The Lancet Voice
AI and LLMs in healthcare
May 30, 2024
Rupa Sarkar, Editor-in-chief of The Lancet Digital Health, dives into the transformative role of Large Language Models (LLMs) in healthcare. She discusses their applications in medical education and clinical administration, emphasizing the need for human oversight and equitable access. Rupa also highlights the rapid advancements in AI over the past five years, the challenges of integrating these technologies safely, and the intersection of venture capital with patient care. The conversation stresses the importance of thoughtful implementation and regulatory frameworks.
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Quick takeaways
- Large Language Models in healthcare can enhance medical education and administration, but raise significant concerns about accuracy and human oversight.
- The integration of AI in health necessitates robust regulatory frameworks to address issues of bias, privacy, and ethical implications.
Deep dives
Understanding Large Language Models
Large language models (LLMs) represent a significant innovation within the broader field of artificial intelligence. Trained on billions of words, LLMs utilize statistical associations to predict language usage, allowing them to perform various natural language processing tasks. While tools like ChatGPT have sparked excitement, they also raise concerns regarding their application in critical fields such as healthcare. Despite their advancements, it is crucial to recognize that these models are not truly capable of human-like understanding but operate based on statistical patterns.
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