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 ...
Tag: deep learning
Genetic Algorithm Sharpens Video Segmentation to Flag Risky Sports Movements
A genetically optimized U-Net framework segments athletes' bodies in video with high accuracy and flags visually abnormal knee, ankle, and ...
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 Learns to Read the Fine Print of Bacterial and Fungal Leaf Disease
A systematic review of 59 studies finds deep learning dominates fungal leaf disease detection while bacterial diagnosis, generative AI and ...
Butterfly-Inspired AI Sharpens Relay Baton Handover Analysis in Speed Skating
A study in Discover Artificial Intelligence reports that a BOA-CNN-LSTM-enhanced SIMI-Motion system cut relay handover feature extraction errors from 13.2 ...
Explainable AI models track EV battery health over 6G networks
A new study combines LSTM-based deep learning with LIME and SHAP explainability to estimate EV battery state of health across ...
AI Reads a Single EEG Channel to Stage Sleep, With Confidence Checks Built In
A new spectral-temporal deep learning framework reached 0.8469 accuracy on a fixed Sleep-EDF test partition while flagging low-confidence epochs for ...
AI Reads Petri Dishes and Names the Microbes Faster Than Ever
A new review finds that AI models reading digital images of culture plates can detect microbial growth with sensitivities of ...
New deep learning dropout method sharpens enzyme prediction across fish species
A new deep learning framework called VARDON uses adaptive dropout mechanisms to improve enzyme classification in fish proteomes, with strong ...
TabNet brings interpretable attention to miRNA classification, but classical models still lead
A leakage-controlled benchmark of TabNet and eight baselines on cervical cancer and Alzheimer's disease miRNA datasets finds a shared accuracy ...
Deep learning maps a path toward smarter aneurysm surgery planning
A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...
AI Reads Cervical Spine CT Scans to Flag Spinal Cord Injury
A standardized 3D convolutional neural network identified cervical spinal cord injury on CT scans with AUC-ROC values near 0.95 across ...
Scoping review finds markerless surgical tool tracking in open surgery still at proof-of-concept stage
A scoping review of 14 studies finds that vision-based markerless tool tracking in open surgery remains dominated by simulated data ...
AI Reads Preterm Babies’ Brain Waves to Pinpoint Their Cerebral Age
A deep learning model estimated the cerebral maturation age of preterm infants from EEG bursts with a mean error of ...
Knowledge-Distilled Lightweight AI Reads Breast Ultrasounds With Radiologist-Beating Accuracy
A knowledge-distilled convolutional network reached 92.64 percent accuracy on an independent breast ultrasound dataset, outperforming chief physicians in a retrospective ...
Explainable AI pipeline spots metastasising cancer cells in microscopy images
An explainable deep learning pipeline segments single cells in fluorescence microscopy images and classifies them as normal or metastasising, with ...
Ant colony algorithm tunes a leaner DeepLabV3+ to segment brain tumors across three MRI cohorts
A new framework uses ant colony optimization to configure a modified DeepLabV3+ network with a residual feature fusion module, reporting ...
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 ...
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 ...
Compact Transformer Learns Kazakh Sign Language From Landmarks, Not Pixels
Kazakh researchers built a 3.5-million-parameter multi-branch Transformer that recognizes Kazakh Sign Language gestures from unseen signers, outperforming three baselines under ...
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