Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Innovations in Medicine: Exploring ChatGPT's Impact on Rare Disorder Management

Version 1 : Received: 14 March 2024 / Approved: 14 March 2024 / Online: 15 March 2024 (14:41:58 CET)

A peer-reviewed article of this Preprint also exists.

Zampatti, S.; Peconi, C.; Megalizzi, D.; Calvino, G.; Trastulli, G.; Cascella, R.; Strafella, C.; Caltagirone, C.; Giardina, E. Innovations in Medicine: Exploring ChatGPT’s Impact on Rare Disorder Management. Genes 2024, 15, 421. Zampatti, S.; Peconi, C.; Megalizzi, D.; Calvino, G.; Trastulli, G.; Cascella, R.; Strafella, C.; Caltagirone, C.; Giardina, E. Innovations in Medicine: Exploring ChatGPT’s Impact on Rare Disorder Management. Genes 2024, 15, 421.

Abstract

Artificial Intelligence (AI) is rapidly transforming the field of medicine, announcing a new era of innovation and efficiency. Among AI programs designed for general use ChatGPT holds a prom-inent position using an innovative language model developed by OpenAI. Thanks to the use of deep learning techniques, ChatGPT stands out as an exceptionally viable tool, renowned for gen-erating human-like responses to queries. Various medical specialties, including rheumatology, oncology, psychiatry, internal medicine, and ophthalmology, have been explored for ChatGPT in-tegration, with pilot studies and trials revealing each field's potential benefits and challenges. However, the field of genetics and genetic counseling, as well as that of rare disorders, represents an area suitable for exploration, with its complex data sets and the need for personalized patient care. In this review, we synthesize the wide range of potential applications for ChatGPT in the medical field, highlighting its benefits and limitations. We pay special attention to rare and genetic disorders, aiming to shed light on the future roles of AI-driven chatbots in healthcare. Our goal is to pave the way for a healthcare system that is more knowledgeable, efficient, and centered around patient needs.

Keywords

Artificial Intelligence; ChatGPT; Rare Disorders

Subject

Medicine and Pharmacology, Other

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