Artificial Intelligence Medical Compendium

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

Showing 3,271 to 3,280 of 202,937 articles

Experimental-AI approach (hybrid) for evaluating the strength characteristics of eco-efficient concrete incorporating coal bottom ash.

Scientific reports Jun 3, 2026
Thermal power stations generate large amount of coal bottom ash (CBA), which is mostly disposed of in landfills, creating environmental hazards. At the same time, the continual use of natural aggregate in concrete is depleting resources. Present stud... read more 

Evaluating eye-tracking as a method for deception detection against the polygraph as deployed in practice.

Scientific reports Jun 3, 2026
Can credibility assessment be based on methods more reliable than those currently used? Traditional polygraph examinations, although widely employed, have well-documented limitations, motivating the search for alternative, noninvasive approaches. In ... read more 

New energy demonstration urban construction enhances ecological environmental resilience: evidence from China.

Scientific reports Jun 3, 2026
Renewable energy is a cornerstone for addressing ecological degradation, resource depletion and climate risk. Can the new energy demonstration urban construction (NEDC) as an important policy tool of renewable energy development improve ecological en... read more 

Learning continuous activation fields from microscopic SEM images of lycoperdioid fungi via CNN-guided neural operator modeling.

Scientific reports Jun 3, 2026
Accurate interpretation of microscopic morphological features is critical for resolving taxonomic boundaries in morphologically similar fungal taxa, yet conventional image analysis approaches largely rely on discrete classification or pixel-level seg... read more 

Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure.

Scientific reports Jun 3, 2026
This study aimed to predict functional capacity using wearable sensor-based spatiotemporal and kinematic gait parameters, and meta-heuristic-based machine learning approaches in patients with heart failure (HF). This cross-sectional study included 70... read more 

Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns.

Scientific reports Jun 3, 2026
Artificial intelligence is increasingly used in Life Sciences, though the pace and direction of adoption varies widely across countries. To map the Greek landscape, we performed a data‑driven analysis of 916,824 AI-related life-science papers harvest... read more 

Machine learning-optimized composting strategies can enhance nutrient recycling and transform food system waste into a net carbon sink.

Nature food Jun 3, 2026
Composting organic waste offers a circular solution to recycle nutrients and restore soil health, but nitrogen (N) and carbon (C) losses during the process undermine its agricultural and climate benefits. Here, using a machine learning approach, we a... read more 

Dual swin transformer for assisting in the diagnosis and surgical prediction of necrotizing enterocolitis.

Pediatric research Jun 3, 2026
BACKGROUND: The diagnosis and surgical prediction of necrotizing enterocolitis (NEC) remain challenging. Our goal is to develop an interpretable multimodal artificial intelligence model to assist these key clinical decisions. METHODS: This retrospect... read more 

In situ mechanical characterization of functional and architected materials.

Nature materials Jun 3, 2026
Recent advances in instrumentation have sparked a transformative journey in materials science, providing insights into the intricate relationship between processing, structure and properties. Among them, cutting-edge in situ micro- and nanoscale mech... read more 

Deep learning-based cross-modal MR-CT registration for brain metastases radiotherapy with multi-scale feature refinement and brainstem guidance.

Scientific reports Jun 3, 2026
Accurate multimodal deformable registration between magnetic resonance (MR) and computed tomography (CT) images is essential for precise target delineation in brain metastases radiotherapy. However, substantial modality discrepancies and complex anat... read more 
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