Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 45,811 to 45,820 of 224,055 articles

Deep Learning With Data Privacy via Residual Perturbation.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Protecting data privacy in deep learning (DL) is of crucial importance. Several celebrated privacy notions have been established and used for privacy-preserving DL. However, many existing mechanisms achieve privacy at the cost of significant utility ... read more 

Deep Tabular Representation Corrector.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Tabular data have been playing a mostly important role in diverse real-world fields, such as healthcare, engineering, finance, etc. The recent success of deep learning has fostered many deep networks (e.g., Transformer, ResNet) based tabular learning... read more 

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Optimization of deep neural networks (DNNs) has been driving modern advancements in artificial intelligence. With DNNs characterized by a prolonged sequence of nonlinear propagation, determining their optimal parameters given an objective naturally f... read more 

Soft Prescribed Performance-Based Reinforcement Learning Control for a PAM-Actuated Rehabilitation Exoskeleton.

IEEE transactions on cybernetics Mar 1, 2026
In a rehabilitation exoskeleton, stable and safe operation is of central importance in rehabilitation training. This article develops a soft prescribed performance (SPP)-based reinforcement learning (RL) control method to address the conflict between... read more 

Human Behavior Identification for Linear Systems in Adversarial Environments by Adaptive Inverse Reinforcement Learning.

IEEE transactions on cybernetics Mar 1, 2026
This article is concerned with the human behavior identification problem for linear human-in-the-loop (HiTL) systems in adversarial environments. By modeling the human as an optimal controller that minimizes his/her individual cost function and the a... read more 

Real-World Prospective Validation and Economic Evaluation of Deep Learning- Based Diabetic Retinopathy Detection From Fundus Photographs: A Systematic Review and Meta-analysis.

Diabetes care Mar 1, 2026
BACKGROUND: Deep learning (DL) has shown promise in delivering diagnostic and economic benefits for detecting diabetic retinopathy (DR) from fundus photographs (FPs). However, evidence synthesis of model validation in prospective, real-world settings... read more 

Rethinking Rotation-Invariant Recognition of Fine-Grained Shapes From the Perspective of Contour Points.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Rotation-invariant recognition of shapes is a common challenge in computer vision. Recent approaches have significantly improved the accuracy of rotation-invariant recognition by encoding the rotational invariance of shapes as hand-crafted image feat... read more 

Order-Optimal Byzantine-Robust Learning Under Heterogeneity via Fair Gradient Clipping.

IEEE transactions on cybernetics Mar 1, 2026
Byzantine-robust distributed or federated learning (FL) refers to providing reliable performance under Byzantine attacks, which violate the prescribed protocols and transmit arbitrary information to the server to hamper the convergence of machine lea... read more 

SAFT: Real-Time Tracking and Mapping With Self-Supervised Robust Stereo Matching for Underwater Vehicles.

IEEE transactions on neural networks and learning systems Mar 1, 2026
Robust and efficient tracking and mapping are critical for underwater vehicles, but remain challenging due to degraded visual quality, ambiguous features, and limited computational resources. Although recent deep learning-based stereo matching method... read more 

Semi-Supervised Unconstrained Head Pose Estimation in the Wild.

IEEE transactions on pattern analysis and machine intelligence Mar 1, 2026
Existing research on unconstrained in-the-wild head pose estimation suffers from the flaws of its datasets, which consist of either numerous samples by non-realistic synthesis or constrained collection, or small-scale natural images yet with plausibl... read more 
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