Chinese tuberculosis physicians outline explainability needs for clinical AI
A qualitative study of 26 tuberculosis physicians in Hubei Province, China, identified five priorities for explainable AI, including exclusionary and ...
Tag: explainable AI
Hybrid LLM and SHAP framework explains cyberbullying predictions
A study of 5,000 Turkish tweets found that SHAP offered detailed feature attributions while local LLM explanations were clearer, with ...
Research report: A population representative XAI framework for transparent dysglycemia screening in Indonesia
An Android screening app trained on Indonesian survey data used XGBoost and SHAP to explain dysglycemia risk, achieving a 0.72 ...
Diabetes AI combines knowledge graphs with language models for traceable answers
A diabetes question-answering prototype combines a structured medical knowledge graph, guideline retrieval and a large language model while exposing the ...
Explainable AI models sharpen disease prediction across four medical data studies
An editorial in Frontiers in Molecular Biosciences highlights how explainable machine learning pipelines turn metabolomics, transcriptomics and health survey data ...
Explainable AI system predicts IT outsourcing success before contracts are signed in Iraq
An explainable machine learning system trained on 336 Iraqi IT outsourcing projects predicts success from pre-contractual data, finding that fixed-price ...
Frequency-aware transformer spots AI-generated fake voices and shows its reasoning
A new Frequency-Aware Transformer achieved 94.6% accuracy and a 6.3% equal error rate on the ASVspoof 2019 Logical Access benchmark ...
Explainable AI yields a five-parameter formula for nonlinear concrete creep
Researchers combined an optimized gradient-boosting model, SHAP explainability, and symbolic regression to derive an explicit, accurate equation for concrete creep ...
Trust-aware graph network shows promise and limits in skin lesion classification
A new graph neural network framework makes skin lesion classification more transparent, but candid reporting reveals serious weaknesses in melanoma ...
Explainable Volterra Networks Bring Transparent Nonlinear Dynamics to Time Series Forecasting
A new neural architecture converts the classical Volterra series into learnable coefficient tensors, recovering known chaotic dynamics, matching transformer physics, ...
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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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