Tag: deep learning

A YOLOv8-based deep learning model identified and measured children's coronary arteries on echocardiograms with expert-level accuracy in under two seconds ...

Researchers have integrated transformer attention mechanisms into learned primal-dual PET reconstruction, achieving cleaner images from noisy low-count scanner data.

A new review in PhotoniX Life maps how deep learning is improving fluorescence microscopy across imaging quality, speed, throughput and ...

A systematic review of 200 studies finds machine learning effective for detecting DDoS and ARP spoofing attacks on university networks, ...

A deep learning model called DROID-RV measures right ventricular size and function from routine echocardiograms and predicts mortality, atrial fibrillation ...

A systematic review of nineteen studies finds AI-powered navigation, object recognition, and reading aids are technically impressive but largely untested ...

A prospective two-phase observer-performance study found that a confidence-aware AI system with a radiologist-editable interface improved radiologists' accuracy and agreement ...

A new review maps how Transformer architectures, from temporal and spatial attention models to self-supervised brain foundation models, are reshaping ...

A spatiotemporal attention network that reads fNIRS blood-oxygen signals while patients listen to music classifies levels of consciousness with 88.72 ...

Researchers have unveiled BCFW, a consensus firewall for Proof-of-Authority blockchains that pairs an FT-Transformer intrusion detector with aleatoric uncertainty estimates ...

A compact deep learning model that mathematically separates normal machining signals from anomalous disturbances has set new benchmarks for predicting ...

Researchers propose combining deep learning with organism-based ecology and new sensory instruments to build AI models capable of forecasting how ...

A multi-region computer vision framework uses YOLO detection, depth estimation and explainable AI to extract anatomical features for automated body ...

A new hierarchical reinforcement learning framework pairing DDQN and DDPG cuts collision rates by more than half and reduces passenger ...

A new open-source framework called ROMET-RNA benchmarks eleven RNA 3D structure predictors and three alignment pipelines, using a consensus scoring ...

A preliminary EEG study found that artificial intelligence detected mental fatigue far more accurately when participants' brain activity was recorded ...

A new study shows that deep learning models can accurately predict the mechanical strength of biodegradable magnesium alloys while clearly ...

A new zero-code software package called BVLab-Analyzer lets laboratories analyze terabyte-scale whole-brain microscopy data—cells, neurons, and vasculature—on a single consumer-grade ...

A new study shows deep learning EEG classifiers gain inflated accuracy from visual instruction cues rather than genuine motor imagery ...

Researchers in Qatar have built a two-stage AI pipeline that predicts clinical keywords from chest X-rays and then generates full ...