Explainable AI classifies origins of 52 historic blue bricks
An explainable machine-learning framework classified 52 historic blue bricks among five regional groups with 95% test accuracy using spectral and ...
Tag: explainable AI
Federated ensemble framework predicts chronic kidney disease without sharing records
A simulated three-client framework combined stacked machine-learning models, differential privacy, federated SHAP explanations and low-bandwidth aggregation to classify chronic kidney ...
Smart Healthcare’s Next Test: Can Vision-Language Models Reason Safely?
A 2026 editorial argues that medically useful vision-language systems must join reliable multimodal perception to explainable, uncertainty-aware and safety-tested reasoning.
Machine learning predicts severe lung disease risk in extremely preterm infants
A single-center retrospective study found that a calibrated random forest using respiratory monitoring, chest radiographs and perinatal data predicted severe ...
Prospective Vietnamese cohort tests explainable machine learning for acute heart failure mortality
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart failure, but it ...
AI and flexible investment model lifts simulated wastewater biorefinery value
A simulated 10-year study found that AI forecasting and flexible investment timing raised modeled wastewater biorefinery value from negative $1.2 ...
An interpretable hierarchical deep learning framework for lung and colon cancer detection
A hierarchical deep-learning framework classified five lung and colon tissue classes with 98.50% accuracy on LC25000 and 82.01% on the ...
Deeper engagement is linked to criticism of a changing heritage village
An observational study of 12,493 Chinese social-media records linked deeper engagement with Xiaozhou Village to more frequent negative expression, without ...
Systematic review finds attention explanations are rarely tested for faithfulness
A systematic review of 168 primary studies found that 57.14% did not examine the performance–faithfulness relationship, 41.07% reported synergy and ...
Ridge regression outperforms nonlinear models for petrol price prediction in regulated Zambia
A machine-learning study using 2011–2025 data from Zambia’s regulated fuel-pricing system found that Ridge regression outperformed Random Forest, Support Vector ...
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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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