Explainable AI framework blends calibrated models to predict heart disease risk
Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset while exposing ...
Tag: explainable AI
How Image Quality and Scaling Shape the Accuracy of Future AI Systems
A peer-reviewed experimental review in Artificial Intelligence Review examines how image enhancement, scaling, and evaluation metrics jointly determine the reliability ...
Tiny AI Model Reads Diseased Crop Leaves With Big-Model Accuracy and Explains Itself
A 79,717-parameter attention-fused neural network called LeafXNet matches or beats far larger deep learning models at detecting watermelon, grape, and ...
AI scoring tool shows promise in flagging cancerous skin lesions
A retrospective Mayo Clinic study found that the DEXI dermoscopy AI tool, using a threshold score of 3.0, correctly identified ...
Uncertainty-aware Bayesian neural network brings confidence scores to breast cancer AI
A variational Bayesian neural network trained on the Wisconsin Diagnostic Breast Cancer dataset matches conventional classifiers while flagging which predictions ...
AI Is Reshaping Solar Power, Review Finds, but Hurdles Remain
A new review in Discover Sustainability charts how artificial intelligence has advanced solar forecasting, maintenance, and grid integration from 2020 ...
AI and a Chat Interface Team Up to Predict Wind Turbine Failures in Real Time
Researchers in Türkiye have combined IoT sensors, gradient-boosted machine learning, and a safely grounded large language model into a prototype ...
AI Explanations Collapse When Supply Networks Fracture, Spectral Study Warns
A new spectrally grounded framework proves that collapsing network connectivity, measured by the Fiedler eigenvalue, is a sufficient condition for ...
Machine learning reveals buckling prediction limits in cold-formed steel columns
A study of 148 built-up cold-formed steel column tests found that machine-learning corrections performed well within the database but transferred ...
Machine learning predicts self-reported anger improvement in teens
A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported anger-management improvement in adolescents, but ...
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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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