Artificial Intelligence Medical Compendium

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

Showing 9,171 to 9,180 of 208,441 articles

Hydrodynamic investigation of acoustic bubble-surface interactions on nanoarray-coated fins for microelectronic cooling with machine learning-based analysis.

Scientific reports May 28, 2026
This study presents a novel phase-change cooling strategy that synergistically integrates acoustofluidic bubble dynamics with nanoarray-coated micropin fins to enhance thermal performance. A multidisciplinary framework combines experimental measureme... read more 

Lactylation-related prognostic signature characterized in pancreatic ductal adenocarcinoma through public scRNA-seq dataset and machine learning algorithms: the TOP2A-H3K18la-NQO1 axis orchestrates malignant progression.

British journal of cancer May 28, 2026
BACKGROUND: Lactate promotes histone lactylation, which affects protein transcription and translation, thereby influencing tumour cell progression. However, the role of lactylation in pancreatic ductal adenocarcinoma (PDAC) remains underexplored and ... read more 

Associations of body mass index and metabolic health with stroke risk in a large prospective cohort with time updated covariates.

Scientific reports May 28, 2026
The global prevalence of overweight and obesity is rising, and recent studies have established an independent contribution of adiposity to stroke risk. How the increased risk associated with adiposity relates to other factors including metabolic heal... read more 

Physics-informed neural network with adaptive loss balancing for real-time radiotherapy dose prediction and verification.

Scientific reports May 28, 2026
Accurate and efficient dose computation lies at the heart of modern radiotherapy planning, yet practitioners are still pulled in two opposing directions: high-fidelity solvers - Monte Carlo simulation and deterministic linear Boltzmann transport equa... read more 

Unveiling population heterogeneity in health risks posed by environmental hazards using regression-guided neural network.

Scientific reports May 28, 2026
As environmental hazards become more frequent, it is critically important to understand their health impacts and identify individuals at disproportionately higher risk. Moderated Multiple Regression (MMR) provides a straightforward approach for inves... read more 

Dual-attention residual U-Net with Huber loss for robust and efficient porosity prediction from well logs.

Scientific reports May 28, 2026
Accurate porosity prediction from well logs is critical for reservoir characterization, yet existing deep learning approaches face notable limitations. Sequential LSTM-based architectures suffer from computational bottlenecks due to their recurrent p... read more 

Novel hybrid machine learning-based prediction of building space heating load: a comprehensive study.

Scientific reports May 28, 2026
Space heating load is the main energy consumption agent for residential buildings. Its prediction is crucial for the efficient and cost-effective management of energy suppliers. In this study, nine machine learning methods, including a novel hybrid n... read more 

Biosurveillance and early outbreak detection of rabies in settings with limited laboratory capacity using spatiotemporal clustering and a machine learning framework.

Scientific reports May 28, 2026
Rabies is an important but often neglected zoonotic disease with significant public health, veterinary, and economic impacts. Inadequate surveillance and diagnostic resources in low- and middle-income countries impede its effective public health resp... read more 

A fully-CMOS spiking LIF neuron implementation for optimized STDP learning on memristor.

Scientific reports May 28, 2026
The growing demand for fast and energy-efficient computing has motivated the development of neuromorphic hardware inspired by biological neural systems. Spiking neural networks (SNNs), as the third generation of neural networks, offer an event-driven... read more 

Deep learning approach for art style recognition and colour restoration in visual art images.

Scientific reports May 28, 2026
Color, as a core element in artistic images, not only contributes to visual aesthetics but also plays a crucial role in expressing emotions, constructing thematic narratives, and conveying semantic information. While existing deep learning approaches... read more 
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