A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Achieving precise and reliable drone positioning requires the integration of advanced IMUs with satellite data.

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

SD: There’s a lot of hesitation up front. Putting in an alignment system takes up some precious square footage. What they end ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The Legion Pro 5 earns its stripes with an excellent OLED screen and a punchy keyboard, making it a compelling midrange gaming rig. Its CPU grunt and battery life don’t inspire, but its gaming ...

Today, AI is covering the whole stack of data analysis-based applications, starting at the wafer level and culminating in PCB assembly. Once a design is in assembly, AI primarily makes way into ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...