ChatGPT: Transforming Healthcare with AI DOI Creative Commons
Fnu Neha, Deepshikha Bhati,

Deepak Kumar Shukla

и другие.

AI, Год журнала: 2024, Номер 5(4), С. 2618 - 2650

Опубликована: Дек. 2, 2024

ChatGPT, developed by OpenAI, is a large language model (LLM) that leverages artificial intelligence (AI) and deep learning (DL) to generate human-like responses. This paper provides broad, systematic review of ChatGPT’s applications in healthcare, particularly enhancing patient engagement through medical history collection, symptom assessment, decision support for improved diagnostic accuracy. It assesses potential across multiple organ systems specialties, highlighting its value clinical, educational, administrative contexts. analysis reveals both the benefits limitations including health literacy promotion clinical decision-making, alongside challenges such as risk inaccuracies, ethical considerations around informed consent, regulatory hurdles. A quantified summary key findings shows promise various while underscoring risks associated with integration practice. Through this comprehensive approach, aims provide healthcare professionals, researchers, policymakers balanced view limitations, emphasizing need ongoing updates keep pace evolving knowledge.

Язык: Английский

ChatGPT: Transforming Healthcare with AI DOI Creative Commons
Fnu Neha, Deepshikha Bhati,

Deepak Kumar Shukla

и другие.

AI, Год журнала: 2024, Номер 5(4), С. 2618 - 2650

Опубликована: Дек. 2, 2024

ChatGPT, developed by OpenAI, is a large language model (LLM) that leverages artificial intelligence (AI) and deep learning (DL) to generate human-like responses. This paper provides broad, systematic review of ChatGPT’s applications in healthcare, particularly enhancing patient engagement through medical history collection, symptom assessment, decision support for improved diagnostic accuracy. It assesses potential across multiple organ systems specialties, highlighting its value clinical, educational, administrative contexts. analysis reveals both the benefits limitations including health literacy promotion clinical decision-making, alongside challenges such as risk inaccuracies, ethical considerations around informed consent, regulatory hurdles. A quantified summary key findings shows promise various while underscoring risks associated with integration practice. Through this comprehensive approach, aims provide healthcare professionals, researchers, policymakers balanced view limitations, emphasizing need ongoing updates keep pace evolving knowledge.

Язык: Английский

Процитировано

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