Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

By Bertalan Meskó. Journal of Medical Internet Research, 2023

617 citations recorded by the source corpus.

Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of large language models (LLMs) to help in various tasks. With the emergence of LLMs, the most popular one being ChatGPT that has attracted the attention of over a 100 million users in only 2 months, artificial intelligence (AI), especially generative AI, has become accessible for the masses. This is an unprecedented paradigm shift not only because of the use of AI becoming more widespread but also due to the possible implications of LLMs in health care. As more patients and medical professionals use AI-based tools, LLMs being the most popular representatives of that group, it seems inevitable to address the challenge to improve this skill. This paper summarizes the current state of research about prompt engineering and, at the same time, aims at providing practical recommendations for the wide range of health care professionals to improve their interactions with LLMs.

Subfields: Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/eecb4dbf218d08d43a727c7e79f86a296502f117

Citations in the corpus

• Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs (2024, neutral): “Studies on the topic of prompt engineering in clinical medicine are limited, and most studies primarily apply prompt engineering techniques directly 31 or provide an overview of prompt engineering 14,32,33 in clinical medicine.”