BMI classification system wrongly identifies some people as having overweight or obesity, says study

Research from Italy to be presented at this year's European Congress on Obesity (ECO 2026, Istanbul, Türkiye, 12–15 May) and published in the journal Nutrients shows that when the gold standard ...
Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

PEGAT: Prediction Error-Guided Adversarial Training to Enhance Robustness of Deep Learning Models in Autonomous Vehicles

Abstract: Adversarial training is a widely used method to improve the robustness of deep learning models in various applications. Although adversarial training enhances the robustness of the target ...
techxplore

Improving AI models: Automated tool detects silent errors in deep learning training

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources. A new open-sourced framework developed at the ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
IEEE

Classification Error Bound for Low Bayes Error Conditions in Machine Learning

Abstract: In statistical classification and machine learning, classification error is an important performance measure, which is minimized by the Bayes decision rule ...
Frontiers

Review of applications of deep learning in veterinary diagnostics and animal health

Deep learning (DL), a subfield of artificial intelligence (AI), involves the development of algorithms and models that simulate the problem-solving capabilities of the human mind. Sophisticated AI ...