AI Finds Hidden Brain Landmarks on CT to Catch Treatable Dementia
A registration-guided 3D-UNet framework automatically localizes the brain's anterior and posterior commissures on routine CT scans with millimeter precision, enabling ...
A registration-guided 3D-UNet framework automatically localizes the brain's anterior and posterior commissures on routine CT scans with millimeter precision, enabling ...
A 3D multi-scale convolutional neural network developed in Taiwan accurately segments and quantifies acute ischemic stroke lesions on diffusion-weighted MRI ...
A French research team has combined time-domain reflectometry with temporal convolutional networks to detect, locate, and characterize wiring faults, achieving ...
Artificial intelligence is quietly transforming two of the most intimate fields of medicine: neuroscience and psychology. A new editorial published ...
A new study shows that randomly splitting EEG windows between training and test sets inflates diagnostic accuracy by roughly 35 ...
A systematic review synthesizes how metagenomics, metatranscriptomics, metabolomics, proteomics, and machine learning converge to reveal and engineer rhizosphere microbial communities ...
A TransUNet-inspired deep learning system segmented hernia defects and abdominal wall muscles on 215 CT scans with IoU values of ...
A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, while warning that data ...
Schizophrenia and bipolar disorder have haunted psychiatry with a diagnostic dilemma that is as old as the disciplines themselves. Both ...
A deep learning model that reads multiregional contrast-enhanced breast MRI can predict whether chemotherapy has completely cleared the axillary lymph ...
A new vision-language model fuses MRI, diffusion imaging and clinical scores to classify Alzheimer's disease, works even when data is ...
A systematic review of 123 studies maps how artificial intelligence is transforming brain imaging and computer-aided diagnosis of neurological diseases, ...
A new robotic system combines deep learning recognition with optimised grasp planning to harvest tomatoes in dense clusters with minimal ...
Worcester Polytechnic Institute researchers finished third out of 181 teams in an international AI competition with TwinSight, a dual deep-learning ...
Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...
Researchers in India have built a lightweight brain-computer interface framework that combines sliding-window segmentation, Fourier decomposition, and a compact neural ...
A new asymmetric AI fusion framework that treats dermoscopic images as the primary representation and clinical photos as a corrective ...
A comprehensive review of 120 studies finds that hybrid AI and machine learning architectures are transforming electric vehicle battery management, ...
Researchers have developed a wavelet-transform-based pedestrian detection model that improves accuracy on crowded benchmarks while cutting parameters by nearly 40 ...
Researchers in India have built a hybrid intrusion detection system combining causal learning, entropy-based feature compression, adversarial calibration, and federated ...
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