Artificial Intelligence Medical Compendium

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

Showing 16,281 to 16,290 of 213,568 articles

Model-informed vancomycin precision dosing by population pharmacokinetics combined with machine learning algorithms.

British journal of clinical pharmacology
AIMS: Achieving the target AUC/MIC remains a critical challenge in vancomycin therapeutic drug monitoring, with traditional empirical dosing regimens often leading to suboptimal outcomes. This study aimed to develop and validate a novel population ph... read more 

Development of an integrated multidimensional nomogram for predicting stone-free status after retrograde intrarenal surgery: a machine learning-based approach.

Minerva urology and nephrology
BACKGROUND: This study aimed to develop and validate a novel preoperative nomogram to predict stone-free status (SFS) in patients undergoing retrograde intrarenal surgery (RIRS) for kidney stones. METHODS: A total of 312 patients who underwent RIRS w... read more 

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The artificial intelligence (AI)-driven generation of genetic sequences holds transformative potential for addressing global challenges in agriculture, medicine, and bioenergy. Traditional approaches including hybridization, mutagenesis, and CRISPR-b... read more 

A Bilayer Rare-Earth/High-κ Oxide Memristor for Energy-Efficient Neuromorphic Intelligence.

Small (Weinheim an der Bergstrasse, Germany)
The growing demand for brain-inspired computing systems has intensified research into energy-efficient, scalable, and adaptive hardware that mimics biological synaptic behavior. Neuromorphic memristor devices, which integrate memory and processing fu... read more 

Per-MOF Mechanistic Attribution Reveals Context-Dependent Stability Mechanisms in Metal-Organic Frameworks.

Journal of chemical information and modeling
Water stability remains a critical barrier to the practical deployment of metal-organic frameworks (MOFs) in aqueous and industrial environments. While recent machine-learning studies have achieved strong predictive performance for MOF water stabilit... read more 

Comment on: "Deep Learning-Based Skin Lesion Classification: A CNN Approach on High-Frequency Ultrasound Imaging".

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Multimodal MRI marker of cognition explains the association between cognition and mental health in the UK Biobank.

eLife
Cognitive dysfunction often co-occurs with psychopathology. Advances in neuroimaging and machine learning have led to neural indicators that predict individual differences in cognition with reasonable performance. We examined whether these indicators... read more