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
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
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
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
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
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
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
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
Studies in health technology and informatics
May 21, 2026
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
Studies in health technology and informatics
May 21, 2026
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
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