AI Medical Compendium

Critical Appraisal of Artificial Intelligence for Rare-Event Recognition: Principles and Pharmacovigilance Case Studies.

Drug safety Mar 11, 2026

Many high-stakes artificial intelligence (AI) applications target low-prevalence events, where apparent accuracy can conceal limited real-world value. Relevant AI models range from expert-defined rules and traditional machine learning to generative l... read more

Investigation of Fatty Acid Metabolism-Associated Molecular CPOX and the Underlying Mechanism in Follicular Lymphoma.

Biochemical genetics Mar 11, 2026

Dysregulated lipid metabolism is a key driver of follicular lymphoma (FL). This study aimed to explore the lipid metabolism-related genes (LMRGs) and clarify the underlying roles and mechanisms in FL. Bioinformatics methods, including differential an... read more

Development of machine learning models for predicting properties of carbon materials and design of process conditions for production of materials with desired multiple properties.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry Mar 11, 2026

Cokes are an essential material in the iron and steel industry, and widely used as a fuel and for reducing iron ore. The product properties of cokes are influenced by raw materials and process conditions, which in turn affect its performance. Because... read more

Lower Back Muscle Fatigue Recognition Based on the Fusion-Information of Multi-Channel sEMG and NIRS Simultaneous Recordings.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 11, 2026

Accurate recognition of muscle fatigue in the lower back is essential for preventing low back pain and reducing the risk of occupational injuries. However, current recognition accuracy remains unsatisfactory due to limitations in both measurement too... read more

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation.

IEEE transactions on medical imaging Mar 11, 2026

Deep neural networks for medical image segmentation are often overconfident, compromising both reliability and clinical utility. In this work, we propose differentiable formulations of marginal L1 Average Calibration Error (mL1-ACE) as an auxiliary l... read more

PID-Optimized Deep Learning for Adaptive Time-Frequency Forecasting in Dynamic Systems: Coal Calorific Value Prediction.

IEEE transactions on cybernetics Mar 11, 2026

Accurate real-time prediction in dynamic industrial systems is crucial for optimization and efficiency. This article introduces a novel intelligent monitoring framework leveraging proportional-integral-derivative (PID)-optimized deep learning for ada... read more

Bayesian Physics-Informed Neural Networks With MIQPSO-Backstepping Control for Vibration Suppression in Nonuniform Quay Cranes.

IEEE transactions on cybernetics Mar 11, 2026

This article proposes a trajectory tracking strategy for nonuniform quay cranes to suppress flexible cable vibration and attenuate payload swing and rotation, thereby improving tracking accuracy and transport efficiency. To address the challenges pos... read more

Multi-objective Once-for-All Neural Architecture Search for Medical Image Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 11, 2026

Deep learning is the mainstream method for medical image segmentation, and neural architecture search (NAS) has also been developed for this task. However, existing NAS methods remain limited in their ability to search for high-performance yet lightw... read more

EIQuan: A Stacked Ensemble Learning-Based Predictor for Quantification of Nontargeted Chemicals in Gas Chromatography Coupled with Electron Ionization High-Resolution Mass Spectrometry Analysis.

Environmental science & technology Mar 11, 2026

Nontargeted analysis using gas chromatography coupled with electron ionization high-resolution mass spectrometry (GC-EI-HRMS) is a vital tool for identifying a large quantity of compounds in complex environmental samples. Herein, we employed GC-EI-HR... read more

Growth rates of coral reefs peaked at 25 °C through the Holocene.

PloS one Mar 11, 2026

For millennia, corals have built coral-reef structures upon the remains of past generations of coral skeletons, forming the world's most diverse marine ecosystems. Yet, ocean warming and regional and local disturbances are reducing the capacity of co... read more

Artificial Intelligence Medical Compendium