LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
This is an incremental review paper that synthesizes existing information about LLM applications in healthcare for researchers and practitioners.
This paper provides a comprehensive review of how Large Language Models (LLMs) are being applied across various medical specialties such as cancer care, dermatology, and mental health, focusing on diagnostic and treatment-related functionalities while also addressing associated challenges and opportunities.
We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains. LLMs have become pivotal in supporting healthcare, including physicians, healthcare providers, and patients. Our review provides insight into the applications of Large Language Models (LLMs) in healthcare, specifically focusing on diagnostic and treatment-related functionalities. We shed light on how LLMs are applied in cancer care, dermatology, dental care, neurodegenerative disorders, and mental health, highlighting their innovative contributions to medical diagnostics and patient care. Throughout our analysis, we explore the challenges and opportunities associated with integrating LLMs in healthcare, recognizing their potential across various medical specialties despite existing limitations. Additionally, we offer an overview of handling diverse data types within the medical field.