AI Shows Promise for Predicting Gum Disease and Tooth Loss, but Is Not Ready for the Clinic
A scoping review of eight studies finds AI models predicting periodontal disease progression and tooth loss perform moderately to highly ...
Tag: Machine Learning
Machine learning reads VR learning traces to model how students self-regulate
A study of 138 elementary students in Jakarta shows that interaction traces from VR-integrated e-modules can predict self-regulated learning with ...
AI Steps Up as a Powerful Ally in Pollutant Assessment and Environmental Toxicology
A comprehensive narrative review finds that predictive AI can accelerate pollutant hazard assessment, monitoring, and exposure modeling, but only as ...
Knowledge Graph Meets Contrastive Learning to Score Digital Economy Growth
A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based baselines in evaluating digital economy ...
Machine Learning Model Links Tumor Cell Malignancy to Osteosarcoma Outcomes and Flags OPN3 as a Drug Target Candidate
A machine learning model built from single-cell data stratifies osteosarcoma patients by survival risk and identifies OPN3 as a candidate ...
New framework makes brain age gap explanations more stable and calibrated
A new framework aligns SHAP explanations of brain age gaps with each subject's chronological age and flags unreliable attributions.
Deep Learning Model Flags Early Signs of Problematic Digital Habits in Older Adults
A hybrid CNN-LSTM-attention model predicts risky digital usage patterns in adults aged 60 and older with 0.947 accuracy and 0.93 ...
Blood protein signatures may hint at which rheumatoid arthritis drug will work first
An exploratory study derived drug-specific protein signatures from rheumatoid arthritis immune cells ex vivo and found they moderately discriminated treatment-specific ...
AI Shows Strong Accuracy for Some Pediatric Diagnoses but Stumbles on Tuberculosis
A new systematic review and meta-analysis of 20 studies finds that AI models show high pooled accuracy for detecting pediatric ...
New AI Detector Splits ‘Fake’ Into Subclasses to Boost Generalisation
Researchers propose an SGDFD framework that decomposes AI-generated content detection into semantic and forgery subspaces and splits the single fake ...
Neural network reads cancer’s mutational fingerprints from tiny data scraps
A supervised neural network called SuRe outperforms established methods at inferring mutational signature exposures from sparse cancer sequencing data, including ...
Core Needle Biopsy Falls Short for HER2-Low Breast Cancer Classification, Study Finds
A retrospective study of 1,919 breast cancer patients in China found core needle biopsy reliably determines binary HER2 status but ...
AI Model Predicts Strength of Coal Mine Backfill Materials with High Accuracy
A PSO-optimized XGBoost model predicted the compressive strength, elastic energy index and impact energy index of gangue-cemented backfill materials with ...
Review Maps How Machine Learning Estimates Electric Vehicle Remaining Range
A new open-access review finds that machine learning and deep learning models using real-time sensor data improve electric vehicle remaining ...
AI Platform Reshapes How Superconducting Magnets Are Designed at CEA
CEA Paris-Saclay has built an artificial intelligence optimisation and data management platform called alesia that automates multiphysics design workflows for ...
Kernel methods join the Deep Ritz method with new error guarantees
A new open-access paper proves a priori error estimates for kernel methods used as ansatz functions within the Deep Ritz ...
Machine learning surrogate slashes cost of calibrating WAAM thermal simulations
Researchers trained a machine learning surrogate on 120 simulations that predicts WAAM thermal histories in milliseconds and calibrates uncertain model ...
Interpretable AI Model Predicts 28-Day Mortality in Sepsis-Linked Kidney Injury
An interpretable XGBoost model achieved an AUC of 0.881 for predicting 28-day mortality in critically ill patients with sepsis-associated acute ...
AI Reads Student Records to Predict English Proficiency in Vocational Colleges
A new interpretable AI framework combining large language model embeddings with structured educational data predicted vocational college students' English proficiency ...
BERT-EmoShiftNet Fusion Enhances Stress Dialogue Recognition
A new BERT-EmoShiftNet fusion framework achieves 85.0% accuracy in recognizing psychological stress by integrating semantic, speech, and visual data in ...
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