Artificial Intelligence Medical Compendium

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

Showing 1,201 to 1,210 of 200,346 articles

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 

Utilizing artificial intelligence and geospatial analysis to examine the urban built environment, social vulnerability, and child neglect in Los Angeles.

Child abuse & neglect Jun 1, 2026
BACKGROUND: Child neglect, defined as a parent or guardian's failure to provide basic needs such as food, clothing, shelter, or medical care, is a widespread global public health issue with long-term consequences for child development. OBJECTIVE: To ... read more 

Integrating machine learning with QSPR for property prediction of anti-vertigo drugs.

Computational biology and chemistry Jun 1, 2026
Vertigo is a debilitating vestibular disorder affecting approximately 10-30% of the global population, yet no dedicated computational chemistry study has systematically characterised the properties of its pharmacological agents using machine learning... read more 

A reproducible data-driven parameter optimization framework for classical skull stripping methods across heterogeneous brain MRI datasets.

Biomedical physics & engineering express Jun 1, 2026
Accurate skull stripping is a critical preprocessing step for reliable brain MRI analysis, yet the performance of classical algorithms remains highly sensitive to parameter selection. This study proposes a statistically reproducible, dataset-level pa... read more 

Designing the Future of Hemostasis.

Seminars in thrombosis and hemostasis Jun 1, 2026
Bleeding disorders arising from dysfunctional platelet-protein interactions pose a significant clinical challenge due to their heterogeneity and complexity. Primary hemostasis is mediated by von Willebrand factor (VWF) and platelet surface receptors ... read more 
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