LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866913002514546688 |
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| author | Mumtaz, Ummara Ahmed, Awais Mumtaz, Summaya |
| author_facet | Mumtaz, Ummara Ahmed, Awais Mumtaz, Summaya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2311_12882 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties Mumtaz, Ummara Ahmed, Awais Mumtaz, Summaya Computation and Language Artificial Intelligence 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. |
| title | LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2311.12882 |