Artificial Intelligence Medical Compendium

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

Showing 41,851 to 41,860 of 223,853 articles

A multimodal feature disentanglement model for lymphadenopathy diagnosis based on BUS and CDFI ultrasound videos: a retrospective, prospective, multicenter study.

European radiology
OBJECTIVES: This study developed and validated a deep learning model for diagnosing lymphadenopathy (LA) using B-mode ultrasound (BUS) and color Doppler flow imaging (CDFI) videos. MATERIALS AND METHODS: A retrospective and prospective study was cond... read more 

Dynamic Electrochemical Reorientation at SERS Hotspots Enables Composition, Length, and Sequence Reading of DNA Oligonucleotides.

Journal of the American Chemical Society
Extending surface-enhanced Raman spectroscopy (SERS) from small molecules to macromolecules is important for various applications, yet it remains challenging due to the "surface selection rule". Molecular segments that bind closer to the substrate su... read more 

Evaluating Challenges and Opportunities to Boost Forest Productivity in the Kashmir Himalayas.

Environmental management
Forests are vital ecosystems that sustain biodiversity, regulate climate, and support local livelihoods. However, in the Kashmir Himalayas, forest productivity faces multiple constraints, including financial limitations, population pressure, land-use... read more 

MyoClass: A modular multimodal auto-classification system for myocardial tissue characterization.

The international journal of cardiovascular imaging
Differentiating myocarditis from myocardial infarction (MI) using Cardiac Magnetic Resonance (CMR) imaging remains a significant clinical challenge due to overlapping imaging and clinical presentations. We propose MyoClass, a deep learning (DL)-based... read more