: Synopsis: Artificial intelligence (AI), specifically Large Language Models (LLMs), which focus on the interaction between computers and human language, can influence musculoskeletal rehabilitation management. AI chatbots (e.g., ChatGPT, Microsoft Bing, Google Bard) are a form of LLMs designed to understand, interpret, and generate text similar to what is produced by humans. Since their release, chatbots have triggered controversy in the international scientific community, including when they have passed university exams, generated credible scientific abstracts, and shown potential for replacing humans in scientific roles. The controversies extend to the field of musculoskeletal rehabilitation. In this Viewpoint, we describe the potential applications and limitations, and recommended actions for education, clinical practice and research when using AI chatbots for musculoskeletal rehabilitation management, aspects that may have similar implications for the broader health care community.

Pros and cons of using artificial intelligence Chatbots for musculoskeletal rehabilitation management

Palese, Alvisa;
2023-01-01

Abstract

: Synopsis: Artificial intelligence (AI), specifically Large Language Models (LLMs), which focus on the interaction between computers and human language, can influence musculoskeletal rehabilitation management. AI chatbots (e.g., ChatGPT, Microsoft Bing, Google Bard) are a form of LLMs designed to understand, interpret, and generate text similar to what is produced by humans. Since their release, chatbots have triggered controversy in the international scientific community, including when they have passed university exams, generated credible scientific abstracts, and shown potential for replacing humans in scientific roles. The controversies extend to the field of musculoskeletal rehabilitation. In this Viewpoint, we describe the potential applications and limitations, and recommended actions for education, clinical practice and research when using AI chatbots for musculoskeletal rehabilitation management, aspects that may have similar implications for the broader health care community.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1263229
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