Tag: Medical Imaging

A prospective Canadian pilot study found that FET-PET/MRI revealed significantly larger metabolically active tumor volumes than conventional MRI in more ...

A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...

A new deep-learning network called MFANet modestly outperformed leading models at segmenting liver tumors on CT scans even when some ...

Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...

Korean researchers have built a hybrid Vision Transformer and CNN generative model that enhances ultrasound image quality with state-of-the-art fidelity ...

An Indian research team has developed GraphX, an explainable graph transformer framework that classifies nail diseases with 94.97 percent accuracy ...

A within-subject study of 36 patients shows that KARL 3D iterative reconstruction reduces lung-window chest CT noise by nearly 35 ...

A new safety audit shows that machine unlearning in medical AI can silently degrade performance on rare diagnoses, and proposes ...

A qualitative study of seventeen nurses in India reveals substantial gaps in radiation safety knowledge, inconsistent patient education, and a ...

Researchers have built AMIFound, a single foundation model trained on 3.76 million image pairs that restores and enhances medical images ...

A systematic review of machine-learning models for diabetic-foot osteomyelitis finds strikingly high reported accuracy but warns that almost no models ...

Researchers have developed Adaptive-CGAN, a generative AI framework that produces realistic synthetic chest X-rays, lifts diagnostic accuracy to 99.60 percent, ...

A new study finds that AI systems and large language models achieve at best 25 percent accuracy in diagnosing psoriasis ...

Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...

Deep learning models appeared to detect inguinal hernias in children from chest X-rays, but a rigorous new study shows the ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...

A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...

A phantom study reports millimeter-level accuracy for fusing tracked ultrasound with C-arm cone-beam CT, a radiation-sparing approach to spine surgery ...

A new CMR and machine-learning study shows that layer-specific heart muscle strain combined with routine blood tests can distinguish acute ...

A new economic evaluation of two Iranian hospitals finds that outsourcing MRI services cut patient waiting times from nearly 12 ...