Artificial Intelligence Medical Compendium

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

Showing 37,021 to 37,030 of 223,469 articles

Vietnamese Odonata: bridging global biodiversity, ecological, and conservation gaps in a changing world.

npj biodiversity
Vietnam is a global hotspot, hosting 493 Odonata species, with ~95% evaluated by the IUCN. Odonata species play vital ecological roles in aquatic and terrestrial ecosystems; yet, they face escalating threats from climate change, habitat loss, and pol... read more 

Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled study.

NPJ digital medicine
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies also reported no relevant effect on adenoma detection rate (ADR). This study evaluates the real-time p... read more 

Gene regulatory landscape dissected by single-cell four-omics sequencing.

Nature
Cellular diversity is governed not only by the transcriptome but also by multiple layers of epigenomic regulation, including nucleosome occupancy, chromatin states and genome architecture1-3. Here, to comprehensively understand how these regulatory m... read more 

A view-flexible deep learning framework for automated analysis of 2D echocardiography.

NPJ cardiovascular health
Echocardiography traditionally requires experienced operators to select and interpret clips from specific viewing angles. Clinical decision-making is therefore limited for handheld cardiac ultrasound (HCU), which is often collected by novice users. I... read more 

Multimodality treatment and survival in primary cardiac malignancies: evidence from competing-risk and machine learning analyses.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
BACKGROUND: Primary cardiac malignancies are rare and highly aggressive, with limited clinical evidence to guide optimal treatment. This study evaluated the association between multimodal treatments and survival outcomes under competing-risk conditio... read more 

Automated multi-class ECG arrhythmia detection using VMD and multi-task optimization.

Scientific reports
Electrocardiogram (ECG) classification is essential for accurately detecting and tracking heart rhythm disorders. This study proposes a multi-class ECG classification framework for identifying cardiac arrhythmias like Atrial Fibrillation (AF), Ventri... read more