Artificial Intelligence Medical Compendium

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

Showing 34,451 to 34,460 of 221,633 articles

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Journal of nanobiotechnology
Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed cell death, have emerged as pivotal regulators and promising therapeutic agents for bone regeneration. They function as innate multimodal signaling en... read more 

Development and Validation of a Machine Learning-Based Model to Predict Peri-Implant Mucositis in Patients With Dental Implant Placement After 1-Year.

Clinical oral implants research
OBJECTIVES: To develop and validate an interpretable machine learning (ML) model for early prediction of peri-implant mucositis (PIM). MATERIAL AND METHODS: This retrospective study enrolled patients receiving dental implants between October 2011 to ... read more 

YOLO-Drop: A Deep Learning Model Enabling Accurate, High-Throughput Image Analysis for Droplet Digital Immunoassay at Attomolar Concentrations.

Analytical chemistry
Ultrasensitive detection of low-abundance protein biomarkers is essential for early disease diagnosis and therapeutic monitoring. While droplet digital enzyme-linked immunosorbent assay (ddELISA) addresses this need by enabling attomolar sensitivity,... read more 

Human Allele Frequency Distributions Contradict Current Narratives of Imminent Danger From Genetically Targeted Bioweapons.

Health security
Warnings of pathogens manufactured to target a specific ethnic group, so-called genetic bioweapons, have recently received considerable media attention. Genetic bioweapons figure prominently in reports on potential future risks emerging from combinin... read more 

Upcycling Industrial Wastewater to Three-Dimensional Porous Cu4(OH)6FCl Nanosheets as Anode for High-Performance Lithium-Ion Batteries.

Nano letters
With the vigorous development of artificial intelligence and the semiconductor industry, the treatment of a mass of copper- and fluorine-containing industrial wastewater poses a challenge to the sustainable development of human society and the enviro... read more 

Benchmarking pKa Prediction Algorithms against an Extensive, Public Data Set.

Journal of chemical information and modeling
Accurate prediction of proton dissociation constants (pKa) is essential for downstream drug discovery and molecular modeling workflows. While several proprietary pKa prediction tools have been established as popular choices in the field, open-source ... read more 

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

Behavioural brain research
INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) have shown promise in treating psychopathology. However, emerging evidence suggests that the brain's functional state during stimulation ma... read more 

Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation.

Journal of neuroscience methods
BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's disease (AD) and its severe effects on cognitive function. Recent advances in neuroimage analysis have opened the door to novel machine-learning techni... read more 

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

Ageing research reviews
BACKGROUND: Frailty is common among individuals with cardiovascular disease (CVD) and is a strong predictor of adverse outcomes. Machine learning (ML) methods have been applied independently in CVD research for risk prediction and in frailty research... read more 

Exploring AI and ML in managing overlap between cardiovascular disease and asthma or COPD: a scoping review.

Respiratory medicine
Cardiovascular disease (CVD) is a major comorbidity in asthma and chronic obstructive pulmonary disease (COPD), yet the contribution of artificial intelligence (AI) and machine learning (ML) to CVD risk assessment and management in these conditions r... read more