AI Model Detects Tuberculosis on Chest X-rays While Guarding Against Data Leakage
A new dual-branch AI framework called TBFuseFormer detects tuberculosis on chest X-rays with 99.39 percent held-out test accuracy after removing ...
Tag: Medical Imaging
Lightweight AI Tool Classifies Stroke Types from Brain CT Scans
A lightweight AI pipeline combining wavelet and texture features classified hemorrhagic stroke, ischemic stroke and normal tissue on brain CT ...
Shorter PET/CT scans may miss prostate cancer recurrence signs in some patients
A retrospective study of 200 patients found that shortened 68Ga-PSMA PET/CT protocols miss tumor manifestations in a minority of patients ...
Audit finds incomplete radiology request forms in Nigerian private clinics improve after targeted feedback
A two-cycle audit of 640 radiology request forms from private clinics in Asaba, Nigeria, found no fully completed forms at ...
Diffusion-enhanced AI framework segments and classifies brain tumors with 98.1% accuracy
A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable brain tumor segmentation and ...
Dual-branch AI fuses local and global MRI features to sort brain tumors with 99% accuracy
A dual-path attention fusion network combining Swin Transformer and frozen DINOv2 features reached 99.24% accuracy on a leakage-screened hold-out test ...
Deep learning model reads chest X-rays for pneumonia and tuberculosis in Ethiopia
A customized VGG19 deep learning model trained on 2,100 chest X-rays from Ethiopian hospitals classified pneumonia and tuberculosis with 99% ...
Head-to-head benchmark ranks EfficientNet-B0 top for spotting enamel caries in intraoral photos
A controlled benchmark of five CNN architectures on 2,000 intraoral photographs found EfficientNet-B0 led with 98.18 percent accuracy, though no ...
Deep learning matches expert radiologists at outlining rectal tumors on MRI
A multicenter study of 603 rectal cancer patients found that a deep learning network segmented rectal tumors on MRI with ...
Web Platform Puts Three Deep Learning Models to Work on Brain Tumor MRI Scans
A new open-access study presents a modular web platform that classifies brain tumor MRI scans in real time using a ...
AI Reads Routine Chest CTs to Flag Osteoporosis in Early Study
A preliminary study of 98 patients found that AI-derived bone density from routine chest CT scans closely matched dedicated QCT ...
Attention-driven multimodal AI shows promise for lung cancer diagnosis, review finds
A systematic review of 43 studies finds that attention-based multimodal deep learning consistently outperforms single-modality approaches across lung cancer diagnostic ...
ResNet50-U-Net Deep Learning Model Segments Brain Tumor Subregions from Multimodal MRI
An integrated residual encoder-decoder framework achieved Dice scores of 0.9100 for whole tumor and 0.8151 for enhancing tumor segmentation on ...
AI imaging models predict stroke bleeding after thrombectomy, review finds
A systematic review of eleven studies reports that AI-driven imaging models predicted post-thrombectomy bleeding with a pooled AUC of 0.891, ...
Survey maps the rise of open-ended visual segmentation
A new open access survey in Artificial Intelligence Review organises open-ended visual segmentation into three research directions and maps the ...
Federated AI Framework Pairs Medical Imaging Accuracy with Auditable Explanations
A new federated learning framework for chest X-ray analysis reports modest accuracy gains over existing methods while aligning explanations across ...
Attention-Guided Distillation Boost Alzheimer’s Stage Identification Using MRI Scans
Researchers introduce an attention-guided cross-representation distillation framework that utilizes MRI scans to achieve high accuracy in identifying subtle stages of ...
Radial artery calcification found in 13 percent of transradial PCI patients
A retrospective OCT study of 461 patients found radial artery calcification in 13.2 percent, most often in the distal segment, ...
Lightweight AI network reads chest X-rays to tell bacterial from viral pneumonia
A new lightweight three-branch neural network called FLIFuse classifies bacterial pneumonia, viral pneumonia, and normal chest X-rays with 91.4 percent ...
Federated AI Reads Neonatal Brain Scans Without Moving Patient Data
A new federated learning framework called NeuroSono-Net classifies neonatal brain ultrasound conditions across simulated institutions while keeping patient data local, ...
POPULAR NEWS
-
Metagenomic Sequencing Identifies Pathogens in 40.6 Percent of Suspected CNS Infections
-
AI Models Show Promise in Detecting Early Eating Disorders
-
Pediatric cytomegalovirus retinitis may follow distinct trajectory after stem cell transplantation
-
German Midwifery Educators Navigate Evidence-Based Practice Shift Across University Programmes