Artificial Intelligence Medical Compendium

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

Showing 14,161 to 14,170 of 211,815 articles

AI-Integrated EEG Decision Support for Neurocritical Care: A Conceptual and Feasibility Framework.

Studies in health technology and informatics May 21, 2026
The clinical use of electroencephalography (EEG) for neuro-prognostication in neurocritical care remains limited, despite its ability to provide non-invasive insight into brain activity. This study presents a conceptual framework and early-stage prot... read more 

An Event-Condition-Action (ECA)-Based Formalization of Clinical Guidelines.

Studies in health technology and informatics May 21, 2026
Although existing approaches support medical knowledge representation, formalizing clinical guidelines (CGs) remains challenging. We use Event-Condition-Action (ECA) rules, a well-known paradigm, to address this challenge and present an early ECA-bas... read more 

Development of A Wearable Device for Fall Monitoring: A Preliminary Study.

Studies in health technology and informatics May 21, 2026
Falls among older adults are a significant public health issue, with 30% of older adults falling annually. The project's objective is to develop a fall detection system. This study aims to quantify postural sway (displacement) in older adults during ... read more 

Architecture-Specific Impact of Preprocessing on Machine Learning Models for ECG Classification.

Studies in health technology and informatics May 21, 2026
Automated analysis of electrocardiograms relies increasingly on deep learning models. In these models, preprocessing steps may often be applied under the assumption that they inherently improve performance. This study investigates the effects of sign... read more 

System Architecture of a Local Hybrid AI for Secure Patient Communication: Implementation on Consumer Hardware.

Studies in health technology and informatics May 21, 2026
We constructed a system that explicitly separates clinically oriented queries from low-risk casual conversation using a sentence-transformer classifier. Clinical inputs are routed to a non-generative, expert vetted Frequently Asked Questions (FAQ) re... read more 

Biases in Healthcare AI and Their Impact on Patient Empowerment: A Scoping Review.

Studies in health technology and informatics May 21, 2026
BACKGROUND: Artificial Intelligence (AI) is increasingly applied in healthcare and is often linked to patient empowerment. However, biases in data, algorithms, and design may hinder empowerment by reinforcing inequalities and limiting autonomy. OBJEC... read more 

Moral MedTech: Exploring Ethics-by-Design for Artificial Intelligence in Healthcare via Serious Gaming.

Studies in health technology and informatics May 21, 2026
Artificial Intelligence (AI) is reshaping healthcare through data-driven medical technologies. While offering efficiency and personalization, these systems also pose ethical challenges around fairness, transparency, accountability, and patient autono... read more 

Keep it Simple, Stupid! Towards PySTRIPA for Medication Reviews.

Studies in health technology and informatics May 21, 2026
We revisit and reimagine STRIPA, the STRIP Assistant. The Systematic Tool to Reduce Inappropriate Prescribing Assistant is a medication review system at TRL7 for collaborative decision making about polypharmacy patients. We report on the first steps ... read more 

Evaluation of Graph-Based Algorithms for Early Detection of In-Hospital Mortality.

Studies in health technology and informatics May 21, 2026
Enhancing patient care quality depends on preventing health-related adverse events (HAEs), including in-hospital mortality, right from the start of hospitalization. Today, machine learning tools offer innovative solutions for predicting such events. ... read more 

Designing a Multimodal Data Structure for Cognitive Decline Using All of Us Resources and Gemini Flash Thinking.

Studies in health technology and informatics May 21, 2026
Cognitive decline is not easily defined, as it can manifest across multilayered and heterogeneous data. Its understanding requires the design of data structures that integrate all relevant dimensions. In this study, we address the challenge of implem... read more 
Popular Topics
Recent Journals