Head-to-Head Test Shows Deep Learning Beats Classic Models Only on Breast Cancer Images
An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...
Tag: ultrasound
AI Model Predicts Which Breast Cancer Patients Can Skip Unnecessary Surgery
Researchers at Heidelberg University Hospital developed a machine learning model combining ultrasound, mammography, MRI and clinical data to predict pathological ...
Calcium Clues: Ultrasound Patterns That Reveal Cancerous Salivary Gland Tumors
A retrospective ultrasound study of 104 salivary gland tumors shows that irregular calcifications are the strongest independent predictor of malignancy, ...
Ovarian Cancer AI Study Retracted After Ultrasound Dataset Turns Out to Contain Thyroid Images
A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...
AI Reads Thyroid Nodules Like a Radiologist, Zone by Zone
A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...
Ultrasound Offers an Objective Window Into Morphea Treatment Response
A prospective study of eighteen patients with morphea found that ultrasound-measured dermal thickness significantly decreased with treatment, positioning high-frequency ultrasound ...
AI Reads Ultrasound to Sort Parotid Tumors With Striking Accuracy
A multicenter study shows a deep learning model called GobletNet can segment and classify parotid gland tumors on ultrasound with ...
Paolo Tomà , Pioneer of Paediatric Radiology, Dies at the Height of His Legacy
Professor Paolo Tomà , a pioneering Italian paediatric radiologist who led imaging departments in Genoa and Rome and shaped radiation protection ...
Ultrasound Bone Age Test Matches X-Rays Without Radiation in Children
A new ultrasound-based index summing ossification ratios of the distal radius, distal ulna, and proximal radius correlates with X-ray bone ...
Small Thyroid Cancers Grow When Surgery Is Delayed, Study Warns
A retrospective study of 75 patients found that most medullary thyroid microcarcinomas grew during delayed surgery, with larger tumors linked ...
Rethinking Ultrasound After a Child’s First Urinary Tract Infection: Radiologists Answer Their Critics
Radiologists from Ljubljana respond to a critique of their work on imaging after a child's first urinary tract infection, defending ...
New AI Architecture Sharpens Breast Tumor Detection Across Four Imaging Modalities
Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...
AI Reads Ultrasound Signals to Predict Which Carotid Plaques May Trigger Stroke
A prospective study shows that a random forest model combining shear wave elastography, contrast-enhanced ultrasound and clinical factors can predict ...
AI Reads Ultrasound and MRI Together to Predict Breast Cancer Subtypes Without a Biopsy
A two-center Chinese study shows that a machine learning model combining radiomics features from ultrasound and DCE MRI can non-invasively ...
AI Spots Hidden Thyroid Cancer Spread From Ultrasound Scans, Dual-Center Study Shows
A dual-center study reports a two-stage deep learning network that predicts hidden central lymph node metastasis in surveillance-eligible papillary thyroid ...
Scientists unlock rice protein’s hidden power as a plant-based emulsifier
A new review in Food Chemistry: X details how physical, chemical, and enzymatic modifications can transform rice protein's rigid structure ...
European Experts Unveil VAMP, a Structured Plan to Transform Newborn Vascular Access
European neonatal specialists have published the first ESPR recommendation, a structured Vascular Access Management Plan designed to standardize device choice ...
Eco-Friendly Techniques for Apple Seed Oil Extraction
Recent advancements in agricultural byproduct utilization have spotlighted the extraction of valuable compounds from sources often overlooked. A team of ...
