Artificial Intelligence Medical Compendium

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

Showing 731 to 740 of 200,021 articles

An Interpretable Multidimensional Acoustic Physiology Map for COPD Using Digital Lung Sounds.

Chronic obstructive pulmonary diseases (Miami, Fla.) Jun 1, 2026
BACKGROUND: Lung sound analysis may capture chronic obstructive pulmonary disease (COPD) related physiology, but many methods are hard to interpret clinically. We developed a multidimensional acoustic physiology map using four indices from digital lu... read more 

A critical perspective on finite sample conformal prediction theory in medical applications.

Artificial intelligence in medicine Jun 1, 2026
Machine learning (ML) is transforming healthcare, but safe clinical decisions demand reliable uncertainty estimates that standard ML models fail to provide. Conformal prediction (CP) is a popular tool that allows users to turn heuristic uncertainty e... read more 

Beyond predictive performance: Indonesia as a critical implementation case for digital mental health and machine learning.

Asian journal of psychiatry Jun 1, 2026
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Using an educator-guided generative artificial intelligence (GenAI) tool for developing communication skills in undergraduate pharmacy students.

Currents in pharmacy teaching & learning Jun 1, 2026
INTRODUCTION: Effective communication of health messages is essential. Pharmacy educators face the challenge of adapting curricula or integrating Generative AI (GenAI) tools. This study presents an educator-guided GenAI prototype, Authentic Teaching ... read more 

Medical documentation using artificial intelligence (AI) for battlefield injury simulations: A comparative study.

The journal of trauma and acute care surgery Jun 1, 2026
BACKGROUND: Incomplete prehospital documentation remains a major challenge, compromising continuity of care and data quality. Manual documentation is time-consuming and cognitively demanding, particularly under operational stress. Speech-based artifi... read more 

Machine learning-driven proteomic profiling reveals seminal plasma biomarkers linking trihalomethane exposure to impaired sperm quality.

Ecotoxicology and environmental safety Jun 1, 2026
The decline in sperm quality has emerged as a major public health concern with significant implications for male fertility and population sustainability. However, high-accuracy biomarkers for sperm quality are lacking, and the environmental drivers r... read more 

A scalable Earth observation-based machine learning framework for high-resolution mapping and uncertainty assessment of climate-sensitive child health vulnerability in Bangladesh.

The Science of the total environment Jun 1, 2026
Bangladesh remains highly vulnerable to climate-induced hazards that disproportionately affect child health, yet spatially explicit assessments of these risks remain limited. This study develops a scalable Earth observation-driven machine learning fr... read more 

Machine learning-based prediction of antibiotic resistance gene distribution in agricultural soils under different climate change scenarios.

The Science of the total environment Jun 1, 2026
Antibiotic resistance genes (ARGs) in agricultural soils represent a major public health concern, as climate change is believed to augment their dissemination and abundance. Understanding the impact of future climate change scenarios on ARG abundance... read more 

GeoAI for polar vegetation mapping and hydrological interactions: A systematic review.

The Science of the total environment Jun 1, 2026
Remote sensing (RS) and Artificial intelligence (AI) are increasingly applied to monitor vegetation and hydrology in the Arctic and Antarctic, where logistical and environmental constraints make fieldwork difficult. These technologies offer new oppor... read more 

Digital learning outcomes and sustainable learning in higher education: The roles of music-integrated pedagogy and deep learning orientation.

Acta psychologica Jun 1, 2026
Sustainable learning in today's digital higher education relies on integrating novel pedagogical approaches, student cognition, and digital competencies to yield sustainable learning outcomes. This study applied Transformative Learning Theory to exam... read more 
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