AI spots hidden defects in meat packaging films, review finds
A new review describes how AI-based imaging and sensing technologies can detect packaging film defects that traditional meat inspection methods ...
Tag: deep learning
Deep learning reads hidden vortex light codes in random speckle patterns
A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...
Evolutionary Feature Optimization Sharpens Latent Learning in Endoscopy Images
A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...
AI Reads the Diaphragm in Seconds on Routine Thoracic MRI, Multireader Study Finds
A validated deep learning framework segments the diaphragm on routine 2D-cine and 3D thoracic MRI in seconds, achieving normalized surface ...
Inception-V3 transfer learning grades diabetic retinopathy severity with 93.45% accuracy
A transfer-learning framework using Inception-V3 with SGDM and Nesterov Accelerated Gradient classified five diabetic retinopathy severity classes on the APTOS ...
Thermal Camera Tracks Real-Time Foot Microcirculation During Leg Revascularisation
A deep learning-assisted thermal imaging system tracked real-time microcirculatory changes in the plantar foot during endovascular revascularisation in 21 patients ...
Deep learning tool reads 13 fungal morphotypes from plain microscope images
A YOLOv11m-based detector called TU_MyCo-Vision identifies 13 fungal morphotypes in brightfield microscopy images and pairs them with a graphical interface ...
Most COVID-19 AI models never made it past internal validation, review finds
A systematic review of 57 COVID-19 AI studies found that 80.7 percent relied only on internal validation, exposing a persistent ...
AI and IoT tools for COPD detection and monitoring reviewed across 32 studies
A systematic review of 32 peer-reviewed studies finds that AI and IoT technologies show promise for COPD detection, exacerbation prediction ...
Polymer Templates Turn Metal Oxide Gas Sensors Into Smarter, More Reliable Chips
A new review describes how self-assembled and lithographically patterned polymer templates convert metal oxide sensing films into ordered three-dimensional nanostructures ...
New AI framework scDECA fuses gene priors with cell-level structure in single-cell data
Researchers have introduced scDECA, a dual-encoder cross-attention framework that combines raw gene expression, pretrained gene priors and local structure to ...
Deep Learning Model Reads Earthquake Orthophotos to Flag Damaged Roads and Bridges
A deep learning framework trained on orthophotos from the 2011 Great East Japan Earthquake detected damaged roads and bridges with ...
Deep learning sharpens ultra-low-dose PET/MR scans in Alzheimer’s disease feasibility study
A retrospective feasibility study reports that a deep learning network substantially improved simulated ultra-low-dose multi-tracer PET/MR images in Alzheimer's disease, ...
AI Model Flags Risky International Trade Transactions With Up to 98.9% Accuracy
Researchers have unveiled an artificial intelligence system that classifies international trade transactions as low, medium, or high risk with reported ...
Deep-learning network pinpoints shoulder landmarks on CT scans
A dual-decoder deep-learning network localized 14 shoulder bony landmarks on contralateral CT scans with a mean radial error of 2.1 ...
Lightweight AI Models Show Promise for Breast Cancer Detection in Low-Resource Settings
A narrative review of 45 studies finds lightweight AI models such as MobileNet and EfficientNet achieve strong mammography accuracy on ...
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 ...
AI research on historic buildings and monuments has surged since 2020, review finds
A bibliometric review of 382 publications maps the rapid growth, geographic concentration and thematic evolution of artificial intelligence research on ...
Lung-RADS evolves: new categories, volumetric debates and AI on the horizon
A new review details the major updates to the ACR's Lung-RADS system, from Category 0 and expanded juxtapleural criteria to ...
Federated, explainable AI framework classifies Alzheimer’s disease from MRI and clinical data
A federated learning framework combining MRI and clinical data classifies Alzheimer's disease with reported accuracy up to 94.1 percent while ...
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