4.5 Article

Prompt engineering when using generative AI in nursing education

Related references

Note: Only part of the references are listed.
Editorial Material Radiology, Nuclear Medicine & Medical Imaging

An Opinion on ChatGPT in Health Care-Written by Humans Only

Jens Kleesiek et al.

JOURNAL OF NUCLEAR MEDICINE (2023)

Editorial Material Medicine, General & Internal

Medicine in the Era of Artificial Intelligence Hey Chatbot, Write Me an H&P

Teva D. D. Brender

Summary: This perspective imagines a world where artificial intelligence is integrated into healthcare.

JAMA INTERNAL MEDICINE (2023)

Article Health Care Sciences & Services

The imperative for regulatory oversight of large language models (or generative AI) in healthcare

Bertalan Mesko et al.

Summary: The rapid advancements in AI have led to the development of sophisticated large language models (LLMs) such as GPT-4 and Bard. The potential implementation of LLMs in healthcare settings has gained attention due to their diverse applications, but caution is necessary as these models are trained differently and require regulatory oversight to ensure safety and protect patient privacy. This paper provides practical recommendations for regulators to bring this vision to reality.

NPJ DIGITAL MEDICINE (2023)

Letter Nursing

Enhancing oncology nursing care planning for patients with cancer through Harnessing large language models

Abdulqadir J. Nashwan et al.

ASIA-PACIFIC JOURNAL OF ONCOLOGY NURSING (2023)

Article Information Science & Library Science

?So what if ChatGPT wrote it?? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Yogesh K. Dwivedi et al.

Summary: This article brings together contributions from 43 experts to discuss the advantages and limitations of ChatGPT, as well as its potential impacts in various industries. The article identifies areas for further research, including knowledge, transparency, and ethics; digital transformation of organizations and societies; and teaching, learning, and scholarly research.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2023)

Proceedings Paper Computer Science, Information Systems

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Vivian Liu et al.

Summary: This study explores how to generate coherent images by selecting appropriate prompt keywords and model hyperparameters. Through evaluation of generated artworks, design guidelines are proposed to help people utilize text-to-image generative models more effectively.

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) (2022)

Article Nursing

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative

Charlene Esteban Ronquillo et al.

Summary: The NAIL Collaborative brought together interdisciplinary experts to summarize key discussion points and action recommendations on nursing and AI. The nursing profession needs to actively engage in conversations around AI in health systems and take a leadership role in understanding the relationship between data and AI technologies, participating in all stages of AI, and exploring the potential for AI in global health efforts.

JOURNAL OF ADVANCED NURSING (2021)