Artificial Intelligence Medical Compendium

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

Showing 15,511 to 15,520 of 213,137 articles

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

Studies in health technology and informatics
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
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
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
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
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
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
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
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 

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis.

Studies in health technology and informatics
Artificial Intelligence (AI) and Clinical Practice Guidelines (CPGs) both aim to support clinical decision-making but may provide conflicting suggestions. This manuscript presents a Guideline-Aligned Machine Learning (GAML) model to predict ondansetr... read more 

Improving Explainability in Clinical Mortality Prediction Using Stacking Classifiers over Annotated Clinical Notes.

Studies in health technology and informatics
Heart failure, a leading cause of hospitalization and death, requires early identification of high-risk patients to improve care. This study focuses on predicting 3-month mortality after hospital discharge using real-world clinical notes. For such pr... read more