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Prompting for Healthcare Professionals: Enhancing Clinical Decision-Making with Artificial Intelligence

Infermieristica Journal
Introduction. Generative Artificial Intelligence (AI), specifically through Large Language Models (LLMs), is progressively reshaping clinical documentation, decision support, patient education, and research synthesis in healthcare.
Antonio Alemanno, Michele Carmone, Leonardo Priore   +2 more
doaj   +1 more source

The influence of generative AI with prompt engineering on creative design in architectural education

Journal of Asian Architecture and Building Engineering
In architectural education, artificial intelligence (AI) has traditionally been used as a digital design tool, but its role as a pedagogical aid for enhancing creative thinking has been underexplored. This study investigates the integration of generative
Sanghee Lee, Soomin Kang
doaj   +1 more source

Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education

Computers and Education: Artificial Intelligence
The advent of Generative Artificial Intelligence (GenAI) and large language models like LLama, Palm2, GPT, Gemini, and Claude has revolutionized education by generating human-like text and contextually relevant responses.
Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran   +2 more
doaj   +1 more source

Generative AI and Prompt Engineering: Transforming Rockburst Prediction in Underground Construction

Buildings
The construction industry is undergoing a transformative shift through automation, with advancements in Generative AI (GenAI) and prompt engineering enhancing safety and efficiency, particularly in high-risk fields like underground construction ...
Muhammad Kamran, Muhammad Faizan, Shuhong Wang, Bowen Han, Wei-Yi Wang   +4 more
doaj   +1 more source

LLM4ATS: Applying Large Language Models for Auto-Testing Scripts in Automobiles

Big Data and Cognitive Computing
This paper introduces LLM4ATS, a framework integrating large language models, RAG, and closed-loop verification to automatically generate highly reliable automotive automated test scripts from natural language descriptions.
Zeyuan Li, Wei Li, Yuezhao Liu, Wenhao Li, Min Chen   +4 more
doaj   +1 more source

The Promises and Pitfalls of Large Language Models as Feedback Providers: A Study of Prompt Engineering and the Quality of AI-Driven Feedback

AI
Background/Objectives: Artificial intelligence (AI) is transforming higher education (HE), reshaping teaching, learning, and feedback processes. Feedback generated by large language models (LLMs) has shown potential for enhancing student learning ...
Lucas Jasper Jacobsen, Kira Elena Weber
doaj   +1 more source

Analysis of China's data circulation policy mechanisms based on protection motivation theory: policy trends

大数据
In recent years, local governments have issued numerous policy documents related to data circulation, yet the specific mechanisms and their content remain vague.
LIU Bo, HUANG Keman, HE Anxun, PAN Wuqiong, LI Hongyu, DU Xiaoyong   +5 more
doaj   +2 more sources

Guidelines vs. generative AI in CKD patient education: the role of prompt engineering and expert blinded evaluation. [PDF]

BMC Nephrol
Koc LZ, Gulsen Koc S, Inci A, Buldukoglu OC, Koker G, Lerma EV.   +5 more
europepmc   +1 more source

Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering. [PDF]

Sensors (Basel)
Metuarea H, Laurens F, Guerra W, Lozano L, Patocchi A, Van Hoye S, Dutagaci H, Labrosse J, Rasti P, Rousseau D.   +9 more
europepmc   +1 more source

A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots: Conceptual Framework. [PDF]

JMIR Ment Health
Boit S, Patil R.
europepmc   +1 more source