Machine learning crash severity review finds imbalance and interpretability gaps
A systematic review of 306 studies finds most machine learning crash severity models ignore class imbalance and a large share ...
Tag: Machine Learning
AI Shows Promise for Stone-Linked Urinary Infections, But Validation Lags
A narrative review finds artificial intelligence tools for stone-associated urinary infection are promising but predominantly retrospective and lacking external validation.
New AI model links financial news sentiment to what consumers click next
A new open-access study in Discover Computing presents CMCBI, a recommendation framework that aligns corporate financial signals with consumer behavior ...
Machine Learning Models Predict Gangrenous Cholecystitis Before Surgery
A retrospective single-center study of 487 patients developed interpretable machine learning models that predict gangrenous cholecystitis before surgery using five ...
Emerging tests show promise for telling latent tuberculosis apart from active disease
A systematic review of 15 studies finds four emerging diagnostic approaches, including a microRNA combination, show promising accuracy for distinguishing ...
Machine learning model flags unstable carotid plaques from routine clinical data
A retrospective study of 449 patients found that a LightGBM machine learning model predicted carotid plaque instability with an AUC ...
Machine learning benchmark flags hidden misses in road-accident prediction
A controlled benchmark of six machine-learning classifiers on a synthetic road-accident dataset shows that the most accurate models still missed ...
Machine Learning Pinpoints 12 Candidate Biomarkers for Mesothelioma
A computational study combined gene co-expression network analysis and machine learning to nominate twelve candidate biomarkers for malignant pleural mesothelioma, ...
AI Takes on Mosquitoes: How Machine Learning Is Reshaping Disease Surveillance
A new review maps how artificial intelligence is transforming mosquito identification, disease forecasting, and vector control worldwide.
Biological fingerprints beat chemical structure in predicting drug-induced steatosis
Machine-learning models built from protein-target and pathway fingerprints outperform chemical structure models in predicting drug-induced fatty liver, a new study ...
Artificial intelligence inches toward true multimodal bone marrow diagnosis
A new review finds AI excels within single bone marrow modalities but genuine multimodal fusion systems remain unrealized.
AI Predicts Strength of Recycled Aggregate Concrete with Near-Perfect Accuracy
An integrated experimental and machine learning study predicted the 28-day compressive strength of recycled aggregate concrete, with Support Vector Regression ...
Deep Learning Model Scores 97.9% Accuracy in Grading University Teaching Quality
A published study reports that a Big Bang-Big Crunch optimized Peephole LSTM model classified course records in a 10,000-record dataset ...
Petroleum Attendants and Mechanics Show Highest Benzene Levels in Nigerian Biomonitoring Study
A cross-sectional study of 675 workers in Abuja found that Nigerian petroleum attendants and motor mechanics had significantly higher adjusted ...
Machine Learning Reads TBM Data to Classify Rock Mass Automatically
An interpretable machine learning framework classified rock mass conditions along China's Beishan URL spiral ramp from stable TBM sensor data ...
AI Reads Heart Rhythms Well on Paper, but Clinical Proof Still Lags
A systematic review of 75 studies finds ECG-based AI models reporting 90 to 99 percent accuracy, but warns that external ...
Research report: An interpretable multi-scale temporal-structural feature framework for early rumor detection on social media
A new study reports that a transparent, feature-based framework can detect rumors on social media with accuracy close to that ...
AI model makes sports training decisions transparent with 98.5% motion recognition accuracy
A deep neural decision forest model fuses convolutional feature extraction with differentiable decision trees to reach 98.5 percent motion recognition ...
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 ...
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 ...
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