Artificial Intelligence Medical Compendium

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

Showing 47,071 to 47,080 of 224,199 articles

External Validation of an AI-Based Colonoscopy Quality Assessment Tool in Japanese Clinical Practice: A Pilot Study.

Digestive diseases and sciences
BACKGROUND: While AI-assisted polyp detection has advanced significantly, comprehensive AI-based colonoscopy quality assessment tools remain limited. This study aimed to externally validate an AI-based colonoscopy quality assessment tool (AI-CQ) in J... read more 

AURA-CVC: Autonomous Ultrasound-guided Robotic Assistance for Central Venous Catheterization.

International journal of computer assisted radiology and surgery
PURPOSE: Central venous catheterization (CVC) is a critical medical procedure for vascular access, hemodynamic monitoring, and life-saving interventions. Its success remains challenging due to the need for continuous ultrasound-guided visualization o... read more 

GRU-based de novo design and in-silico prioritization of EZH2 inhibitors.

Molecular diversity
EZH2 (Enhancer-Homozygous Protein 2), as a key epigenetic regulator, is closely associated with multiple cancers. Consequently, the design of EZH2-targeting inhibitors has become a significant focus in drug development. The application of deep learni... read more 

Integrative computational and experimental identification of marine bacterial acetylcholinesterase inhibitors against alzheimer's disease.

Molecular diversity
Alzheimer's disease (AD) is a powerful neurodegenerative disease characterized by cholinergic deficiency, where the inhibition of acetylcholinesterase (AChE) remains a clinically validated strategy. In our current work, a virtual screening platform s... read more 

AI-driven generative framework integrating ML-QSAR and fragment learning for isoform-selective PI3K inhibitor design.

Molecular diversity
Isoform-selective inhibition of class I phosphoinositide 3-kinases (PI3Ks) remains a major challenge in oncology and immune-mediated diseases, where dysregulated PI3K signaling drives tumor progression, therapeutic resistance, and aberrant immune act... read more 

Deep learning model for body weight estimation from computed tomography scout images incorporating sex and height.

Radiological physics and technology
Accurate body weight measurement is essential for determining the appropriate dose of contrast agent in contrast-enhanced computed tomography (CT) examinations. However, in emergency medicine, obtaining accurate measurements is often challenging, whi... read more 

The chemical design of antimicrobial ionic liquids guided by machine learning: a review on balancing efficacy and toxicity.

Journal of materials chemistry. B
The design of new antimicrobial materials is a critical challenge in chemistry and materials science, driven by the global threat of multidrug-resistant pathogens. Ionic liquids (ILs) represent a highly versatile class of materials, where their chemi... read more 

Genomic Perplexity and the Evolution of Context-Dependent Function.

Molecular biology and evolution
The fundamental principle that selection acts on a gene's function often assumes implicitly that this function is fixed and intrinsic. However, empirical evidence from pangenomics, synthetic biology, and GWAS consistently demonstrates that organismal... read more 

Dual-Modal Motion Monitoring via an rGO-Nanocomposite Hydrogel Electrode with a Tunable Hydrogen-Bond Network.

ACS sensors
Hydrogel-based bioelectrodes are emerging as next-generation platforms for wearable electronics owing to their skin-like softness, biocompatibility, and mixed ionic-electronic conductivity. However, achieving an optimal balance of mechanical complian... read more