Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 13,071 to 13,080 of 210,785 articles

Beyond Sequential Teaching: A Concurrent Model for AI in Medicine.

Studies in health technology and informatics
This paper describes the design and preliminary implementation of a concurrent (parallel) model for teaching AI in medicine. This elective course was addressed to residents and final year medical students aiming to integrate in each lecture the theor... read more 

Redesigning Python Programming Course in the Generative AI Era: An Italian Case Study.

Studies in health technology and informatics
This study presents the redesign of a Python programming course for medical students at the University of Pavia, integrating the Generative AI (GenAI) tool Gemini within Google Colab to support learning and problem-solving. To evaluate students' expe... read more 

Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.

Studies in health technology and informatics
How medical students choose specialties shapes access to care. Prior work mostly describes patterns; newer prediction tools can rank influential factors but may blur association with true drivers. Using a curated cohort of 399 students, we examined Y... read more 

Integrating the Learning, Cognition, AI, and Pedagogy (L-CAP) Framework into Health Professions Education.

Studies in health technology and informatics
Health-professions education has moved beyond traditional lecture-based instruction toward competency-based and student-centred learning approaches, such as Problem-Based and Case-Based Learning. While pedagogy has evolved, the structured integration... read more 

Teaching Applied Artificial Intelligence in Health Schools: An Example from Rouen and Nice Universities in France.

Studies in health technology and informatics
This SaNuRN initiative developed a teaching module on applied AI for health residents, fellows, and CME professionals, responding to the French Ministry of Health's call to integrate digital health education. It covers AI theory, applications across ... read more 

Improving Postoperative Outcomes Using Preoperative Patient Education.

Studies in health technology and informatics
Preoperative education has been shown to improve postoperative outcomes, yet accessible and individualized information remains limited. This study presents an AI-based Chatbot designed to support patients through interactive and understandable preope... read more 

Using AI to Increase Research Capacity: The Writing to Improve Nursing Science (WINS) in the Caribbean Program.

Studies in health technology and informatics
Generative AI tools hold promise for addressing global health inequities-but their potential to support scholarly productivity in resource limited settings, remains underexplored. This paper highlights a pilot implementation of the Writing to Improve... read more 

Preparing an AI-Enabled Workforce: Results of a Needs Assessment.

Studies in health technology and informatics
Rapid advances in artificial intelligence (AI), particularly large language models, are transforming education and healthcare. In response, an academic medical center conducted an institution-wide survey to assess AI adoption, perceptions, and traini... read more 

CODE MEDI: A Collaborative Hackathon for Health Informatics Education.

Studies in health technology and informatics
The CODE MEDI program was a two-day medical artificial intelligence (AI) and software (SW) convergence hackathon jointly organized by the medical and computer science fields to promote interdisciplinary learning. 36 students (21 medical and 15 engine... read more 

Overcoming the Limitations of Standardized Patients Through Dynamic CPX Scenario Automation and Multimodal Clinical Representation.

Studies in health technology and informatics
This study addresses the limitations of Standardized Patients (SPs) in Traditional Korean Medicine (TKM) by developing an AI-driven CPX platform. By integrating Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and multimodal cli... read more