Artificial Intelligence Medical Compendium

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

Showing 46,011 to 46,020 of 224,055 articles

Integrating multimodal data and deep learning for functional assessment and rehabilitation prediction after cerebral hemorrhage.

Computer methods and programs in biomedicine
BACKGROUND: Intracerebral hemorrhage (ICH) is a leading cause of long-term disability, particularly in China. Post-stroke motor recovery exhibits considerable heterogeneity, presenting substantial challenges for clinicians in establishing realistic g... read more 

Stabilizing iterative pruning with local adjustments and global scaling learning rate.

Neural networks : the official journal of the International Neural Network Society
Iterative pruning, while effective for reducing model complexity, often introduces instability into the importance estimation of weights. This instability arises from the structural imbalance created during pruning: pruned weights are typically zeroe... read more 

Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures.

Neural networks : the official journal of the International Neural Network Society
Neural topic models (NTMs) based on variational autoencoders (VAEs) have emerged as a scalable and flexible alternative to classical probabilistic models for uncovering latent thematic structures in text corpora. However, most existing NTMs either ov... read more 

WEViT: weight-entangled vision transformers with class-specific attention for weakly supervised semantic segmentation.

Neural networks : the official journal of the International Neural Network Society
Weakly Supervised Semantic Segmentation (WSSS) is a challenging task in computer vision, as it relies on limited supervision to generate precise object localization maps, often using Class Activation Maps (CAMs). Traditional methods struggle with bal... read more 

Freezing pre-trained parameters of encoders for denoisers: Expanding pixel involvement and filtering out high-frequency noise.

Neural networks : the official journal of the International Neural Network Society
Image denoising is a pivotal and intricate task within the field of deep learning and the challenge of generalization poses significant difficulties for many denoisers when faced with out-of-distribution (OOD) noise. Model generalization performance ... read more 

Maternal and Pediatric Precision in Therapeutic Knowledge Portal (MPRINT-KP): Landscape Analysis of Pharmacology Research in Maternal and Pediatric Patient Populations.

Pharmacotherapy
Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a significant gap in knowledge regarding the safety and efficacy of medications for these populations. ... read more 

Identification and Validation of cGAS-STING Pathway-Associated Predictive and Therapeutic Models for Esophageal Squamous Cell Cancer Patients via Artificial Intelligence and Multi-Omics.

Cancer medicine
BACKGROUND: Esophageal squamous cell cancer (ESCC) is a malignancy derived from the Esophagus, and dysregulation of the cGAS-STING pathway contributes to ESCC progression. METHOD: ESCC bulk-seq dataset GSE38129 was acquired from GEO database and then... read more 

Artificial Intelligence-Based Exploration of the Relationship Between Running Motion Patterns and Achilles Tendon Stress in Inactive Adults Initiating a Running Program.

Scandinavian journal of medicine & science in sports
Inactive adults face a measurable risk of chronic Achilles tendon injury when starting to run, yet the mechanisms remain unclear. We leverage machine learning and Shapley Additive Explanations (SHAP)-core methodologies in artificial intelligence-to i... read more 

The Role of Artificial Intelligence in Clinical Psychology: How AI and NLP Systems Are Reshaping Psychological Interventions. A Systematic Review.

Clinical psychology & psychotherapy
Artificial Intelligence (AI) technologies are rapidly evolving and their integration into psychological practices has progressively expanded, offering new tools for diagnosis, treatment and therapeutic monitoring. This review examines the transformat... read more 

[Artificial intelligence in cardiology: the new HAL 9000?].

Giornale italiano di cardiologia (2006)
Artificial intelligence (AI) is rapidly transforming the world, and medicine is at the forefront of this revolution. In cardiology, AI is increasingly providing innovative tools for diagnosis, risk stratification, interventional planning, and persona... read more