Artificial Intelligence Medical Compendium

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

Showing 41,381 to 41,390 of 223,853 articles

Learning earthquake ground motions via conditional generative modeling.

Nature communications
Predicting high-fidelity ground motions for future earthquakes is crucial for seismic hazard assessment and infrastructure resilience. Conventional empirical simulations suffer from sparse sensor distribution and geographically localized earthquake l... read more 

Boundary sensitive-net-based lumbar vertebra segmentation and spondylolisthesis measurement.

Scientific reports
Lumbar spine disorders represent a significant public health concern, with accurate diagnosis relying on vertebral segmentation and quantification. Traditional methods, such as Cobb angle measurement are constrained by two-dimensional projections, wh... read more 

ProSeg: multi-scale context fusion for high-precision prostate segmentation in MRI.

Scientific reports
Prostate MRI segmentation is critical for accurate diagnosis and treatment planning but remains challenging due to the complex interplay between the peripheral zone's thin, irregular boundaries and the central gland's homogeneous textures, compounded... read more 

A novel hybrid model of simplified and external attention coupled with enhanced CNN for medical image segmentation.

Scientific reports
Although UNet has proven its success in various tasks involving medical image segmentation, its capacity to capture global context is restricted by the finite receptive field inherent to convolutional operations. Transformer is capable of capturing l... read more 

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure.

Scientific reports
A crucial factor for smart cities, which are more vulnerable to cyber threats, is Cyber Resilience (CR). Nevertheless, the conventional frameworks didn't concentrate on assuring the Backup Data (BD) integrity before restoration, showing less resilien... read more 

Deep learning enhanced prediction framework for bio oil yield from organic solid waste with chemically informed features.

Scientific reports
Accurate prediction of bio-oil yield from pyrolysis of organic solid waste is still the main problem in the field of biomass valorization, mostly because of high variability in the composition and the heterogeneity of experimental conditions reported... read more 

Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors.

International journal of obesity (2005)
BACKGROUND/OBJECTIVES: This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood using explainable artificial intelligence, integrating adult BMI polygenic scores (PGS), maternal, early-life, and familial factor... read more