Leveraging ChatGPT and Large Language Models for Healthcare Advancements: Applications, Challenges, and Future Directions

Dear Colleagues,

The emergence of large language models (LLMs), with their natural language understanding capabilities, hold immense potential for transforming healthcare practices, diagnosis, treatment, and patient engagement. Notably, in healthcare, LLMs can be implemented for a multitude of applications such as medical diagnosis through natural language interactions, personalized patient education, automated medical record analysis, drug discovery, and sentiment analysis of patient feedback. However, while LLMs offer groundbreaking possibilities, challenges such as ethical considerations, patient privacy, model biases, and ensuring clinical accuracy necessitate thorough exploration.

Given these premises, the proposed Special Issue aims to explore the transformative role and impact of LLMs, including ChatGPT, on healthcare and the challenges that accompany their integration, by inviting scholars and practitioners from the fields of natural language processing, healthcare, and artificial intelligence to share their findings and exchange their insightful ideas. We believe that with your contributions this Special Issue will serve as an authoritative and indispensable resource for researchers, professionals, and the healthcare community at large.

Dr. Marco Cascella
Prof. Dr. Elena G. Bignami
Prof. Dr. Ornella Piazza
Guest Editors

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