Artificial Intelligence Medical Compendium

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

Showing 19,471 to 19,480 of 214,800 articles

Out-of-Distribution Generalization and Detection With Limited Source Data.

IEEE transactions on cybernetics May 12, 2026
Out-of-distribution (OOD) generalization and detection have received significant attention in recent years, focusing primarily on addressing covariate shifts and category shifts in modern machine learning problems, respectively. However, most existin... read more 

MAGIC: Meta-Ability Guided Interactive Chain-of-Distillation for Effective-and-Efficient Vision-and-Language Navigation.

IEEE transactions on pattern analysis and machine intelligence May 12, 2026
Despite the remarkable developments of recent large models in Embodied Artificial Intelligence (E-AI), their integration into robotics is hampered by their excessive parameter sizes and computational demands. Towards the Vision-and-Language Navigatio... read more 

SALMON: Self-Adaptive Learning Model on Neuromorphic Hardware.

IEEE transactions on neural networks and learning systems May 12, 2026
Analog in-memory computing (AIMC) is a promising technology for energy-efficient acceleration of deep learning workloads. While significant advancements have been achieved in accelerating on-chip inference, on-chip training has not received as much a... read more 

Infrared and Visible Image Fusion With Language-Driven Loss and Knowledge Distillation.

IEEE transactions on neural networks and learning systems May 12, 2026
Infrared and visible image fusion (IVIF) has attracted much attention owing to the highly complementary properties of the two image modalities. Due to the lack of ground-truth fused images, the fusion output of current deep-learning-based methods hea... read more 

Collaborative Hyperparameter Recommendation by Coupled Matrix Factorization With Kernel.

IEEE transactions on neural networks and learning systems May 12, 2026
Hyperparameters significantly influence the learning process and performance of machine learning algorithms, rendering their effective selection a critical challenge. Meta-learning-based hyperparameter recommendation has shown promise, yet existing m... read more 

Single cell mechanodeformation signatures as early biomarkers for hematological malignancies.

Critical reviews in clinical laboratory sciences May 12, 2026
Single-cell mechanical profiling of deformations has become a promising method of identifying a functional biomarker in patients with blood cancers. By quantifying the physical and mechanical properties of individual cells, this method examines the b... read more 

Comparing machine and deep learning models for pediatric anxiety classification using structured EHRs and area-based measures of health data.

PloS one May 12, 2026
OBJECTIVE: This retrospective, case-control study with internal validation evaluates the performance of machine learning (ML) and deep learning (DL) models in classifying pediatric patients at risk for anxiety disorders using structured electronic he... read more 

Real-world evidence bridging clinical trials and routine clinical practice to improve patient care.

Current medical research and opinion May 12, 2026
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safety, and tolerability of healthcare interventions in routine practice. The increasing digitalization o... read more 

TDGN: A text-guided dual-gated network for multimodal sentiment analysis.

PloS one May 12, 2026
Multimodal Sentiment Analysis (MSA) aims to interpret emotions by integrating textual, acoustic, and visual information. However, the heterogeneous quality and weak correlation among nonverbal modalities often lead to unstable alignment and ineffecti... read more 

Distributed denial of service detection and mitigation in software-defined networking-enabled software-defined wide area networks.

PloS one May 12, 2026
Software-defined wide area networks (SD-WAN), empowered by software-defined networking (SDN) technology, offer unparalleled flexibility and efficiency in wireless communication. However, their integration introduces new security challenges, particula... read more 
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