Artificial Intelligence Medical Compendium

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

Showing 42,461 to 42,470 of 223,853 articles

Impurities in Oncology Pharmaceuticals: A Review of Classification, Detection Methods, Regulatory Frameworks and Emerging Trends.

Therapeutic innovation & regulatory science Mar 12, 2026
Pharmaceutical impurities pose a significant challenge in the development and manufacturing of anti-cancer drugs due to their high potency, narrow therapeutic index, and prolonged administration in most treatment regimens. Even trace-level impurities... read more 

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.

Molecular diversity Mar 12, 2026
Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we systematically identified BaP-toxicological targets and dissected their contribution to GC development. BaP-related targets were independently predic... read more 

NRSeg: Noise-Resilient Learning for BEV Semantic Segmentation via Driving World Models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 12, 2026
Birds' Eye View (BEV) semantic segmentation is an indispensable perception task in end-to-end autonomous driving systems. Unsupervised and semi-supervised learning for BEV tasks, as pivotal for real-world applications, underperform due to the homogen... read more 

Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 12, 2026
Camera-based contactless monitoring of vital signs, also known as imaging photoplethysmography (iPPG), has seen applications in driver-monitoring, perfusion assessment, affective computing, and more. iPPG involves sensing the underlying cardiac pulse... read more 

LTOFusion: A Learning-To-Optimize Framework with Flow Matching for Unsupervised Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 12, 2026
Multimodal Image Fusion (MMIF) aims to synthesize complementary information from different modalities to generate comprehensive fused images, thereby facilitating downstream applications. Existing methods typically employ deep neural networks to dire... read more 

Evaluation of Deep Learning-Based Event Detection for Parameter Estimation During Complex Walking in Parkinson's Disease.

IEEE transactions on bio-medical engineering Mar 12, 2026
OBJECTIVE: Despite recent advances in wearable technology and its use in quantifying movement, there is still a need for reliable methods of quantifying complex walking tasks beyond steady-state gait (SSG). The purpose of this study is to evaluate an... read more 

HyperSynergyX: Synergistic Drug Combination Prediction via Hypergraph Modeling and Knowledge Graph-Enhanced Retrieval-Augmented Generation.

IEEE journal of biomedical and health informatics Mar 12, 2026
Drug combination therapy is pivotal for complex diseases, but identifying synergistic three-drug regimens remains challenging due to both combinatorial explosion and the opacity of existing computational models. To address this, we introduce HyperSyn... read more 

Deterministic Learning-Based Fault Identification for Nonlinear Sampled-Data Systems: Learning Accuracy Analysis.

IEEE transactions on neural networks and learning systems Mar 12, 2026
In this article, a sampled-data fault identification (SDFI) scheme for nonlinear uncertain systems is proposed based on the deterministic learning approach, and the learning performance of the SDFI algorithm is analyzed. First, a learning-based estim... read more 

A Deep Learning Approach for Dynamic Modeling of Stimulated Raman Scattering in Chalcogenide Microstructured Optical Fibers.

IEEE transactions on neural networks and learning systems Mar 12, 2026
Stimulated Raman scattering (SRS) plays a pivotal role in applications such as optical communications, fiber optic sensing, and spectral analysis. However, traditional modeling methods like the split-step Fourier method (SSFM) are computationally dem... read more 

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis.

IEEE transactions on cybernetics Mar 12, 2026
Aerospace engines, as critical components in the aviation and aerospace industries, require continuous and accurate fault diagnosis to ensure operational safety and prevent catastrophic failures. While deep learning techniques have been extensively s... read more 
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