Artificial Intelligence Medical Compendium

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

Showing 22,001 to 22,010 of 216,627 articles

Leveraging Artificial Intelligence for Personalized Pharmacotherapy: Emerging Roles for Pharmacists.

Journal of pharmacy practice
The objective of this paper is to explore and propose how pharmacists can leverage precision medicine to achieve optimal pharmacotherapy and how artificial intelligence (AI) can guide and enhance these efforts across acute care, chronic disease manag... read more 

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. PURPOSE: To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and varia... read more 

A Portable and Dual-Button Microneedle Device Enables Intelligent Multimodal Laser Sensing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Frequent blood testing remains invasive and impractical, hindering real-time health monitoring. Interstitial fluid (ISF) offers a promising alternative, yet current microneedle platforms are complex, inefficient, and lack multiplexing capability. Her... read more 

Sustainable Synaptic Device with Two-Dimensional Ferroelectric Materials for Neuromorphic Computing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
To overcome the coming big-data era, significant efforts are needed to implement neuromorphic computing that mimics the functional and structural features of the human brain using electronic devices. Repeated updates mimicking biological synaptic pla... read more 

ICDMS: Integrating multimodal data for intelligent clinical decision-making in healthcare: Current trends and future directions.

Scottish medical journal
Intelligent Clinical Decision-Making Systems have become a cornerstone of modern healthcare by enabling accurate diagnosis, prognosis and treatment planning through data-driven insights. With the growing availability of heterogeneous healthcare data ... read more 

Machine Learning-Driven Methodological Refinements for Deployable Ultrasound Radiomics.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Screening for diabetes mellitus in the US population using neural network-based modeling and complex survey designs.

Statistical methods in medical research
Complex survey designs are widely used in medical cohort studies. Developing risk score models that adequately account for the sampling design is essential to minimize selection bias and obtain representative population estimates. This work addresses... read more 

Machine learning reveals proteome-encoded growth determinants underlying metabolic versatility of Rhodopseudomonas palustris on lignin-derived aromatics.

mSystems
Lignin depolymerization generates mixtures of aromatic compounds that are promising carbon sources for microbial bioconversion, yet the constraints governing microbial growth on these substrates remain unclear. Here, we investigated how Rhodopseudomo... read more 

Machine Learning Prediction of Unbound Ceftriaxone Concentrations in Children: Capturing Developmental Changes in Protein Binding for Precision Dosing.

Clinical pharmacology and therapeutics
The pharmacological activity of antimicrobial agents depends on unbound concentrations, but accurately estimating these free fractions remains challenging in pediatric patients due to developmental protein binding changes. This study aimed to develop... read more