Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 215,962 articles

When Useful Clinical AI Exceeds Meaningful Oversight.

Journal of medical systems
Human oversight is widely invoked as a safeguard in clinical AI, yet it is often treated as a single, stable property. In practice, clinicians remain responsible for AI-assisted decisions without remaining able to meaningfully review the basis of the... read more 

SSEL-CPP: A SHAP-based feature-selection ensemble learning framework identifies molecular properties of cell-penetrating peptides.

Protein science : a publication of the Protein Society
Cell-penetrating peptides (CPPs) facilitate the intracellular delivery of therapeutic molecules. However, their accurate identification and design remain challenging because of the complexity of their structural and physicochemical characteristics. T... read more 

Demystifying Artificial Intelligence: Key Concepts with Examples in Rheumatology.

Rheumatic diseases clinics of North America
Artificial intelligence (AI) refers to a broad class of computational methods to perform tasks that typically require human intelligence, such as learning patterns, reasoning, and problem solving. AI is increasingly applied across rheumatology resear... read more 

Integrating network toxicology, machine learning, and single-cell sequencing systems to analyze autophagy core genes in lung adenocarcinoma.

Naunyn-Schmiedeberg's archives of pharmacology
The heterogeneity and complex tumor microenvironment of lung adenocarcinoma lead to poor prognosis. Autophagy, as a key cellular process, interacts with tumor immune infiltration and jointly affects the progression of lung adenocarcinoma, but its cor... read more 

A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy.

Epilepsy & behavior : E&B
Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of cognitive decline and psychiatric disorders which remain poorly understood and go unaddressed by curre... read more 

Large Language Model-Based Localization of Premature Ventricular Contraction Origins: A Retrospective Diagnostic Accuracy Study.

Journal of cardiovascular electrophysiology
BACKGROUND: Accurate localization of premature ventricular contraction (PVC) origin from 12-lead electrocardiography (ECG) is important for procedural planning in catheter ablation. Although convolutional neural network (CNN)-based models have shown ... read more 

Long-term remote sensing monitoring of turbidity in the Danjiangkou Reservoir, China: spatiotemporal dynamics and influencing factors.

Environmental monitoring and assessment
The Danjiangkou Reservoir is the drinking-water source of the South-to-North Water Diversion Middle Route and a national Class I drinking-water protection area. Ensuring low turbidity is essential for safeguarding downstream public health and nationa... read more 

Hyperparameter-optimized deep learning for next-day pH forecasting in distributed water quality monitoring systems.

Scientific reports
Accurate short-horizon water-quality forecasting is important for environmental monitoring systems that aim to move from passive observation toward timely, data-driven intervention. Next-day pH prediction is particularly relevant because pH reflects ... read more 

Identification of TNFRSF12A as a key regulator of stemness and immunosuppression in a novel glioma subtype via multi-omics analysis and experimental validation.

Clinical immunology (Orlando, Fla.)
Glioma stem cells (GSCs) drive tumor heterogeneity, therapy resistance, and immunosuppression. This study identified molecular subtypes of glioma based on stemness-related genes and validated a key hub gene through bioinformatics and experiments. A s... read more 

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC), but outcomes vary substantially, necessitating longitudinal monitoring and treatment adaptation. We aimed to develop models that dynamically update... read more