Large Language Models: Theories, Methodologies and Real-World Applications in Healthcare
This special issue belongs to the section "Medical Informatics and Healthcare Engineering".
Special Issue Information
Dear Colleagues,
Recently, large language models (LLMs) have undergone a remarkable evolution, transforming the landscape of natural language processing. As these models advanced, their ability to understand context, generate coherent text, and even perform reasoning tasks improved significantly, leading to their integration into various sectors of society. In particular, in the healthcare domain, LLMs hold immense promise. Their proficiency in understanding and generating human-like text enables them to analyse complex medical literature, stay updated on the latest research, and assist healthcare professionals in carrying out mass screening of high-impacting diseases. These models could aid in extracting valuable insights from patient records, suggesting potential diagnoses based on symptoms, and even assisting in the interpretation of medical data. This Special Issue invites submissions of scientific findings that showcase foundational theories, methodologies, real-world applications of LLMs in healthcare, and also future strategic plans.
Dr. Flavio Bertini
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in healthcare
- LLMs in healthcare
- fine-tuning LLMs for screening
- LLMs for medical knowledge retrieval
- explanations of LLMs for healthcare applications
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Published Papers
Appl. Syst. Innov. - ISSN 2571-5577