AI lung cancer screening shows promise but falls short of clinical autonomy
A systematic review and meta-analysis finds pooled sensitivity of 85.4 percent and specificity of 83.5 percent for deep learning-assisted low-dose ...
Tag: deep learning
Deep learning reads serial chest CT scans to forecast MDR-TB treatment outcomes
A retrospective multicentre study reports that a deep learning model combining three time-point chest CT scans predicted MDR-TB treatment outcomes ...
Physics-guided AI tracks fuel cell ageing with watt-level precision
A physics-informed TS-Mixer neural network predicted measured PEM fuel cell stack power with an R-squared of 0.969 on a 497-hour ...
AI Framework Combines Imaging, Genomics and Spectral Data for Oral Cancer Research
A retrospective deep learning prototype called XceptionAttnV1 processes multiple data types for oral cavity squamous cell carcinoma but has not ...
Music-aware transformer hits 99.2% accuracy on ballroom genre classification
A music-aware transformer framework combining multi-scale spectrogram learning and adaptive attention optimization reported accuracies of 93.5%, 99.2%, and 97.1% on ...
Deep learning model spots neonatal seizures from EEG brain maps with 97% accuracy
A transfer learning framework classified neonatal seizures from EEG topographic maps, with ResNet-18 reaching 97.1 percent subject-wise accuracy on unseen ...
Foundation model segments thigh muscles on MRI with near-bespoke accuracy
A fine-tuned Segment Anything pipeline matched bespoke networks for thigh muscle segmentation on MRI, while radiologist-flagged errors barely changed volume ...
Hybrid attention model with focal loss improves GI endoscopy image classification
A hybrid ResNet50–VGG16 model with Coordinate Attention and focal loss reached a macro F1-score of 0.718 on the 22-class GastroVision ...
Temporal deep learning model predicts aging of power composite insulators
Researchers report a hybrid BiLSTM framework with wavelet feature extraction and modified Archimedes optimization that classifies composite insulator aging states ...
Lightweight AI Network Reconstructs High-Resolution Images Under One Million Parameters
A new hierarchical feature attention network reconstructs high-resolution images from low-resolution inputs while keeping the model below one million parameters.
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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