ChatGPT - Reshaping medical education and clinical management
By R. A. Khan, Masood Jawaid, Aymen Rehan Khan, M. Sajjad. Pakistan Journal of Medical Sciences, 2023
550 citations recorded by the source corpus.
Artificial Intelligence is no more the talk of the fiction read in novels or seen in movies. It has been making inroads slowly and gradually in medical education and clinical management of patients apart from all other walks of life. Recently, chatbots particularly ChatGPT, were developed and trained, using a huge amount of textual data from the internet. This has made a significant impact on our approach in medical science. Though there are benefits of this new technology, a lot of caution is required for its use.
Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/29a32648fe0cb09980697c28176113439a81a64d
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Citations in the corpus
- To resist it or to embrace it? Examining ChatGPT’s potential to support teacher feedback in EFL writing (2023, unknown): “…ChatGPT’s implications for teaching and learning (Garcia-Peñalvo, 2023; Rudolph et al., 2023; Zhai, 2022) and exploring its potential use in various subjects, such as journalism and media (Pavlik, 2023), medicine (Gilson et al., 2022; Khan et al., 2023), and engineering education (Qadir, 2022).”
- Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review (2024, background): “However, a critical examination of the applications of LLMs in diagnostic medicine reveals several important considerations that must be carefully evaluated [5, 9, 11–14].”
- Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions (2023, background): “LLMs have the potential to significantly impact all phases of medical education programs, offering numerous benefits in various aspects, including curriculum planning, delivery, assessments, programmatic enhancements, and research [8-30].”
- Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health (2023, background): “ChatGPT can also be used for generating case scenarios [108, 109] or quizzes to help medical students practice and improve their diagnostic and treatment planning abilities [110].”
- Generative AI in healthcare: an implementation science informed translational path on application, integration and governance (2024, background): “These cases can be based on a diverse range of medical conditions, patient demographics and clinical scenarios, providing a comprehensive learning platform for medical students and healthcare professionals [51, 52].”
- ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns (2023, background): “[57] A communication on ChatGPT use in medical education and clinical management ChatGPT can help in automated scoring; assistance in teaching; improved personalized learning; assistance in research; generation of clinical vignettes; rapid access to information; translation; documentation in clinica”
- Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review (2023, background): “The precision and trustworthiness of generative AI are fundamental concerns thoroughly elaborated in many publications [8,11-15, 20,22, 24, 32, The propensity of these systems to generate and propagate misinformation is a notable risk.”
- The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions (2023, unknown): “71”