Artificial Intelligence Medical Compendium

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

Showing 4,401 to 4,410 of 203,842 articles

A Convolutional Neural Network and Transfer Learning Approach for Accelerated Quantitative Mass Spectrometry Imaging.

Journal of mass spectrometry : JMS
This research presents a novel approach to accelerate quantitative mass spectrometry imaging (qMSI) measurements using convolutional neural networks (CNNs) with a transfer learning approach. Current methods are time consuming, require numerous specif... read more 

Evaluating the Educational Value of Artificial Intelligence in Pharmacotherapy Education.

Pharmacology research & perspectives
Final-year medical students frequently make prescribing errors, partly because they have had insufficient training in therapeutic reasoning. Students need to understand the underlying rationale behind a drug choice in order to subsequently apply that... read more 

Predicting pharmacy choice for managed care network design.

Journal of managed care & specialty pharmacy
BACKGROUND: Pharmacy type selection is a key component of medication access and use. Prior studies have commonly used logistic regression to examine pharmacy type choice, but this approach may not fully capture complex relationships among patient cha... read more 

Machine learning evaluation of racial and ethnic inclusion under alternative cost-based approaches to Medicare Medication Therapy Management eligibility.

Journal of managed care & specialty pharmacy
BACKGROUND: The eligibility framework for the Medicare Medication Therapy Management (MTM) program has been associated with a lower likelihood of meeting enrollment criteria among racial and ethnic minority beneficiaries compared with their non-Hispa... read more 

Emotion Impact and Contagion Mechanism of Misinformation: A Network-Based Risk Analysis.

Risk analysis : an official publication of the Society for Risk Analysis
The proliferation of online misinformation poses severe societal risks, including public health crises and political polarization, with emotional manipulation serving as a key driver of its spread. However, traditional metrics fail to capture the nua... read more 

A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple Sclerosis.

NMR in biomedicine
Clinical MRI is essential for managing neurological disorders such as multiple sclerosis (MS) but often inconsistent, limiting secondary analyses for enhanced information characterization. Our goal was to establish a new Z-score template method for p... read more 

Mechanistic Biomarker Discovery of Perfluorooctanoic Acid Exposure in Parkinson's Disease Through Integrated Toxicogenomic Analysis.

Basic & clinical pharmacology & toxicology
Perfluorooctanoic acid (PFOA) is a common polyfluoroalkyl substance (PFAS) with possible neurotoxic effects, but its role in Parkinson's disease (PD) is not clear. We aimed to identify shared genes and pathways that link PFOA to PD, to test if the li... read more 

Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape.

PsyCh journal
Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a struct... read more