We followed the topic on “ChatGPT and the Future of Medical Education: Opportunities and Challenges.”1 This paper investigated the possible impact of artificial intelligence (AI) language models such as ChatGPT on medical education. These models can imitate talks and provide medical students and professionals with interactive learning opportunities. While there are prospects for progress, some obstacles must be overcome. One big opportunity is ChatGPT's capacity to generate genuine patient encounters, which allows trainees to practice clinical decision-making and communication skills in a safe and controlled environment. This can improve training, especially for instances that are difficult to recreate in typical educational environments. ChatGPT can also provide tailored feedback and assistance, addressing individual learning needs, and encouraging self-directed learning.
ChatGPT, with its ability to share knowledge and provide help, can overcome this divide and reach a broader audience, including students in remote places or with little resources. However, there are several issues that must be addressed. One significant problem is the requirement for precise and dependable medical information. ChatGPT and other AI language models learn from massive volumes of data, including online sources that may contain mistakes or outdated information. It is critical to ensure that the model delivers evidence-based and up-to-date medical knowledge in order to avoid the spread of inaccurate or harmful information. Another issue is that AI language models lack emotional intelligence and human connection.
Medicine entails more than simply knowledge; it also entails understanding, compassion, and establishing connection with patients. ChatGPT may struggle to imitate these components of patient interactions, which are critical for providing comprehensive healthcare. To keep the human touch in medical education, it is critical to combine AI models with instruction in interpersonal skills and humanistic methods. Ethical considerations are also essential. When employing AI language models to simulate patient contacts, patient privacy and confidentiality must be preserved. To maintain patient trust and ensure the ethical use of AI in medical education, robust data security measures and adherence to privacy legislation are required.
Finally, ChatGPT and other AI language models have the potential to transform medical education by enabling interactive learning experiences and increasing access to high-quality instructional resources. However, difficulties with accuracy, emotional intelligence, and ethical problems must be properly addressed. AI language models can contribute to the future of medical education by utilizing possibilities and tackling problems, boosting the knowledge and abilities of healthcare workers while keeping the crucial human elements of patient care.
A large training set and contemporary techniques are necessary to remove bias and errors from chatbots.2,3 This is due to the fact that relying only on a huge data source can lead to problems. The usage of chatbots poses ethical considerations because they may have unforeseen or unwanted repercussions. As AI language models advance, ethics controls and constraints must be imposed to avoid the spread of harmful ideas and incorrect information.
The authors did not declare any conflict of interest
HD: Generated the idea, wrote, analysed and approved the manuscript.
VW: Generated the idea, supervised and approved the draft. All authors approved the final version of the manuscript for publication.