Artificial Intelligence Medical Compendium

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

Showing 32,011 to 32,020 of 220,797 articles

One Does Not Simply Walk Into Artificial Intelligence: A Distributed Leadership Framework for Healthcare Simulation.

Simulation in healthcare : journal of the Society for Simulation in Healthcare
Artificial intelligence is entering healthcare simulation, yet implementation remains fragmented and lacking coordinated governance. This article argues that sustainable AI integration requires moving beyond tool-centric experimentation toward an eco... read more 

Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement.

Journal of medical Internet research
BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience measures (ePROMs/ePREMs) enable longitudinal monitoring of health-related quality of life (HRQoL), psychological well-being, and treatment satisfaction in... read more 

Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI-Based Virtual Patients: Systematic Text Condensation Approach.

JMIR medical education
BACKGROUND: Effective history taking helps clinicians identify key symptoms and form accurate hypotheses. Generative artificial intelligence (GenAI)-based virtual patients (VPs) are increasingly used to simulate and practice history taking. However, ... read more 

Development of a Predictive Model for the Latency Period in Preterm Premature Rupture of Membranes Before 32 Weeks' Gestation.

Gynecologic and obstetric investigation
BACKGROUND: Only 13.7% of corticosteroid treatments occurred within the most effective treatment time window for preterm premature rupture of membranes (PPROM), mainly due to the lack of relevant predictive models. This study aims to analyze the risk... read more 

Analysis of Machine Learning-Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study.

JMIR serious games
BACKGROUND: Serious games (SGs) are increasingly used to study and enhance team performance in organizational and educational settings. While prior research has explored leadership and communication as isolated factors, the multivariate interactions ... read more 

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study.

JMIR formative research
BACKGROUND: Translation of medical consultation summaries is essential for equitable health care communication in culturally and linguistically diverse populations. While machine translation (MT) tools and large language models (LLMs) are widely acce... read more 

Enhancing Recommendation Systems through SVD-based collaborative filtering and community detection.

PloS one
The recommendation systems often face challenges like low data density, scalability issues and absence of interpretability, whereas classical Collaborative Filtering (CF) which is based on Singular Value Decomposition (SVD) shows support by being sca... read more 

Research on instrument mix and regional suitability of digital publishing industrial policies: An empirical exploration based on qualitative comparative analysis of fuzzy set.

PloS one
Taking the digital publishing industry as its research object and employs the fuzzy-set qualitative comparative analysis (fsQCA) method to systematically examine the causal relationships among the Instrument Mix, regional conditions, and industrial p... read more 

PoPI: A machine learning-based consensus mechanism for blockchain-enabled IoT systems.

PloS one
Internet of Things (IoT) enables seamless connectivity and intelligent automation across diverse domains, from healthcare and agriculture to smart cities and industrial systems. However, conventional IoT architectures often rely on centralized server... read more 

Response to the Letter regarding "The role of reviewers in the era of systematic reviews and meta-analysis: A practical guide for researchers".

Biomolecules & biomedicine
This response to the letter expands the discussion on the evolving demands of peer review for systematic reviews and meta-analyses. We emphasize that the main concern surrounding artificial intelligence is not its limited and disclosed use for langua... read more