The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
How to Use Prompt Engineering for ChatGPT in Medical Education
Abstract
In this chapter, the authors present an appropriate use of prompt engineering in ChatGPT in developing a hypothetical case study for students in understanding basic medical science. In artificial intelligence, particularly in natural language processing, the idea of prompt engineering is used. In prompt engineering, the task description that the AI is expected to complete is incorporated into the input, for example, as a question. Students and teachers can develop hypothetical case studies for their learning of the subjects such as pathology, pharmacology, Western medical diagnostic, and internal medicine. The chapter provided the structure of composing the prompt with a hypothetical case study of peptic ulcer disease of a 45 year of women that underwent endoscopy for H. pylori detection.
Related Content
|
Mohammed Adi Al Battashi, Mohamad A. M. Adnan, Asyraf Isyraqi Bin Jamil, Majid Adi Al-Battashi.
© 2026.
30 pages.
|
|
Potchong M. Jackaria, Al-adzran G. Sali, Hana An L. Alvarado, Rashidin H. Moh. Jiripa, Al-sabrie Y. Sahijuan.
© 2026.
26 pages.
|
|
Elizabeth Gross.
© 2026.
30 pages.
|
|
Siti Nazleen Abdul Rabu, Xie Fengli, Ng Man Yi.
© 2026.
44 pages.
|
|
Mohammed Abdul Wajeed.
© 2026.
30 pages.
|
|
Aldammien A. Sukarno, Al-adzkhan N. Abdulbarie, Wati Sheena M. Bulkia, Potchong M. Jackaria.
© 2026.
24 pages.
|
|
Abdulla Sultan Binhareb Almheiri, Humaid Albastaki, Hanadi Alrashdan.
© 2026.
26 pages.
|
|
|