JMIR Publications

ABSTRACT

Background:

incorporating generative language models or AI into medical education

Objective:

To investigate and examine the combination of AI technology; generative language models and instructional teaching tools to ensure information dissemination in the health sector Assess ChatGPT' s ability as an instructional teaching tool in medical sector

Methods:

A systematic review of related literature and examination of the ChatGPT model

Results:

The research found that despite the limitations of ChatGPT such as data hallucination, and improper referencing it remains the best teaching tool. However, there are mitigation plans in place such as AI content detectors, safeguarding of academic integrity, and similarity checkers recommended for assistance. It is for this reason that, in as much as we are unable to escape Artificial intelligence, ChatGPT can emerge as the best teaching tool for adoption if properly used and understood in medical health.

Conclusions:

Generative AI models are powerful tools for use in the medical sector. This conversational transformer-based chat allows medical professionals to generate content, teach, learn, and improve the general overview of health science. With its ability to revolutionize the medical sector. ChatGPT came at the right when needed, it is on this premise that we need to teach the world about its advantages, disadvantages, and operations without breaching copyright policies, privacy, academic rules, patient-doctor relationships as well as ethical considerations. When used properly it provides the best advantages, considering mitigation plans are kept in place to prevent any malicious intent. Plagiarism checkers, AI content detectors, proper academic referencing, real-time data supply, similarity checkers and generally ensuring the right ethics are followed through the use of ChatGPT are some of the best applicable practices. Finally, though we admit its drawbacks it is a powerful conversational chat for use in our daily lives.