AI Reads CT Scans to Predict Bladder Cancer Recurrence Before It Happens
Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...
Tag: Machine Learning
Quantum Hybrid Model Tested for ECG Arrhythmia Detection
A new study evaluates a hybrid quantum algorithm for ECG arrhythmia classification, finding it competitive at moderate resolutions but lacking ...
Framework Assesses the Economic Value of Volcanic Eruption Forecasts
Retrospective and scenario-based analyses at five volcanoes show how warning thresholds can balance precautionary costs against modeled eruption losses; the ...
AI Learns to Think Harder Only When Satellite Images Get Tricky
Researchers have unveiled MiRAGE, a parameter-efficient AI framework that adapts its computational depth to each satellite image and uses CLIP ...
Machines and Maps Converge on the Drivers of Ghana’s Childhood Anemia Crisis
A hybrid multilevel and machine learning analysis of Ghana's 2022 Demographic and Health Survey identifies nine high-confidence predictors of childhood ...
AI Models Predict Fresh Food Supply Chain Resilience
A new study in Scientific Reports introduces a hybrid framework using variable fuzzy sets and convolutional neural networks to assess ...
Nitrogen Feeds Boxwood Best as Machine Learning Learns to Read Fertilizer Fingerprints
A Turkish research team found nitrogen was the most effective fertilizer for boxwood growth and root development, and used machine ...
One Algorithm, Four Worlds: The Cross-Domain AI Map That Could Reshape Connected Systems
A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer vision, and ...
AI Model Flags Pancreatic Cancer Risk Up to Three Years Before Diagnosis
Mayo Clinic researchers developed an artificial intelligence model that uses routine electronic health record data to predict pancreatic cancer risk ...
Neural Networks Turn Toxic Oil Drilling Waste into High-Performance Zeolite
Researchers used adaptive genetic and particle swarm-optimized neural networks to convert oil-based drilling cuttings into Na-X zeolite with record ammonia ...
Diversity-aware replay exemplars teach intrusion detection systems without forgetting
A new class-incremental learning framework called DARE-IDS uses diversity-aware replay exemplars to help intrusion detection systems learn new attack classes ...
New RGB-depth AI spots objects in cluttered scenes and shrugs off adversarial attacks
A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...
Machine Learning Model Predicts Catheter Thrombosis Risk in Older Cancer Patients
A machine learning study of 532 older cancer patients with PICCs found that simple logistic regression outperformed complex algorithms at ...
AI Model Predicts 28-Day Death Risk for Critically Ill Colorectal Cancer Patients
A LightGBM-based machine learning model predicts 28-day mortality in critically ill colorectal cancer patients, achieving strong internal performance while exposing ...
Ridge-Cox beats Lasso-Cox and deep learning in landmark radiomics survival benchmark
A comprehensive Heliyon benchmark of 16 survival prediction methods and 12 feature engineering strategies across three radiomic datasets finds that ...
Open-Source Pipeline Brings Reproducible Tau PET Quantification to Alzheimer’s Research
Japanese researchers have developed TAME-Q, an open-source pipeline that automates reproducible semi-quantification of florzolotau (18F) tau PET scans and matches ...
Questionnaire Model Ranks HIV Testing Encounters for Extra Support
A questionnaire-based machine-learning model developed from HIV sentinel surveillance data ranked testing encounters among men who have sex with men ...
Inflammation Blood Test Joins Staging to Predict Lung Cancer Survival
A BMC Cancer study fused a routine blood-based inflammation index with age, smoking history, and AJCC stage to build a ...
AI models crack the code of algal blooms in India’s Ashtamudi estuary
AI prediction models built with neural networks and neuro-fuzzy techniques can forecast chlorophyll-a in India's Ashtamudi estuary with near-perfect accuracy, ...
AI Reads Hidden Brain Injury in Newborns When MRI Looks Normal
A clinical-radiomics machine learning model can detect hypoxic-ischemic encephalopathy in term newborns whose conventional MRI scans appear visually normal, achieving ...
