Artificial Intelligence Medical Compendium

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

Showing 67,851 to 67,860 of 233,212 articles

PyPIMalDet: A malicious PyPI package detection method combining code features and metadata features.

Neural networks : the official journal of the International Neural Network Society
In recent years, there has been a surge in malicious software packages on the open-source PyPI software package registry. Given the vast number of software packages and frequent updates on PyPI, existing detection methods based on dynamic analysis or... read more 

Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networks.

Water research
Model predictive control (MPC) improves the use of the hydraulic capacity of an urban drainage network with online optimization, thus reducing overflow and flooding. However, its applicability is hindered by the heavy computational burden of repetiti... read more 

Global trends and collaboration networks in radiology: A bibliometric analysis of the 500 most-cited articles in web of science.

Clinical imaging
OBJECTIVE: This study examined global research trends in Radiology, Nuclear Medicine, and Medical Imaging by analyzing the 500 most-cited articles in the Web of Science (WoS) Core Collection. METHODS: A bibliometric search was conducted on June 15, 2... read more 

TEWS: Transformer-empowered weakly supervised prediction of immune score and genetic mutations in liver cancer from whole slide image.

Computational biology and chemistry
Whole Slide Imaging (WSI) plays a crucial role in predicting immune scores by providing detailed cellular and tissue-level insights, thereby enhancing pathological diagnosis accuracy and biomarker detection. Additionally, WSI contributes essential in... read more 

What makes a scent trigger a memory? A cognitive decomposition of odor-evoked retrieval.

iScience
A single scent can unlock vivid memories. This study investigates the factors that make some odors more evocative than others. We examined odor-evoked episodic memory in 106 participants who experienced odors embedded in distinct visuospatial context... read more 

Integrative analysis of transcriptomic data reveals a predictive gene signature for chemoradiotherapy response in rectal cancer.

iScience
Locally advanced rectal cancer (LARC) is treated with neoadjuvant chemoradiotherapy (nCRT), but only a minority of patients achieve a pathological complete response (pCR). Predictive biomarkers of response could help guide treatment decisions, yet no... read more 

BRAIN-META: A reproducible CNN-vision transformer meta-ensemble pipeline for explainable brain tumor classification.

MethodsX
This study presents BRAIN-META, a reproducible deep learning methodology designed for multi-class brain tumor classification using structural MRI. The proposed approach combines ten hybrid CNN-Vision Transformer (ViT) models with a meta-learning ense... read more 

Artificial Intelligence Research as a Continuous Clinical Service.

Mayo Clinic proceedings. Digital health
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Cross-sectional analysis of accuracy versus interpretability in Medicare Advantage risk adjustment.

Health policy OPEN
BACKGROUND: Risk adjustment models in Medicare Advantage determine annual payments of over $300 billion in public funds to private companies. Policymakers want risk adjustment models that are both accurate and interpretable to ensure appropriate use ... read more 

Integrated global assessment of Escherichia coli emissions from wastewater treatment plants.

Eco-Environment & Health
Wastewater treatment plants (WWTPs) are critical for mitigating anthropogenic contaminants, yet their effectiveness in controlling waterborne pathogens has not been assessed globally. This study presents the first global assessment of Escherichia col... read more