LLMs-Healthcare : Current Applications and Challenges of Large Language
Models in various Medical Specialties
- URL: http://arxiv.org/abs/2311.12882v3
- Date: Mon, 26 Feb 2024 04:18:12 GMT
- Title: LLMs-Healthcare : Current Applications and Challenges of Large Language
Models in various Medical Specialties
- Authors: Ummara Mumtaz, Awais Ahmed, Summaya Mumtaz
- Abstract summary: We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector.
LLMs have become pivotal in supporting healthcare, including physicians, healthcare providers, and patients.
We shed light on how LLMs are applied in cancer care, dermatology, dental care, neurodegenerative disorders, and mental health.
- Score: 0.7673339435080445
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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