Tag: Medical Imaging

A comprehensive review of 81 studies finds that AI models for classifying thoracic diseases on chest X-rays show impressive lab ...

Researchers have developed UbiQVision, a framework that fuses explainable AI attributions from deep learning ensembles using Dempster–Shafer evidence theory to ...

Researchers have developed a fully open-source electrical impedance tomography system costing under 100 dollars that brings radiation-free, real-time lung imaging ...

Researchers in India have combined fuzzy logic edge detection with the KAZE feature detector to automatically identify breast masses and ...

Researchers have developed a coarse-to-fine vision transformer framework that disentangles patient motion from contrast agent dynamics to improve the accuracy ...

Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...

A comprehensive review in the Journal of Translational Medicine maps how artificial intelligence is transforming pain assessment, imaging-based structural identification ...

Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining ...

A new PRISMA-based systematic review of 108 studies finds that most healthcare AI technologies remain at intermediate technology readiness levels, ...

Researchers at Cincinnati Children's Hospital developed a two-stage deep learning pipeline that detects endotracheal tubes on pediatric chest X-rays with ...