AI Medical Compendium

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion Aug 6, 2025

A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025

Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr... read more

Animals Male Deep Learning Action Potentials Neurons Cerebellum Wakefulness Macaca mulatta Pursuit, Smooth

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

NPJ digital medicine Aug 6, 2025

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This devi... read more

Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach.

AIDS research and human retroviruses Aug 6, 2025

This study aimed to identify key predictors of immunological failure in elderly patients with HIV receiving antiretroviral therapy (ART) through machine learning approaches. We conducted a retrospective analysis of 490 elderly patients with HIV (incl... read more

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy Aug 6, 2025

Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025

Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more

Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025

The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif... read more

Humans Machine Learning Africa Principal Component Analysis Methane Carbon Dioxide Climate Change Food Supply Greenhouse Gases Food Security Nitrous Oxide

Single cell density prediction based on optically induced electrokinetics (OEK) and machine learning.

Analytical methods : advancing methods and applications Aug 6, 2025

Single cell density is a key indicator for judging cell physiological state, crucial for studying cell function. However, existing measurement methods are often complex and time-consuming, limiting their efficiency in practical applications. To addre... read more

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches.

Scientific reports Aug 6, 2025

Brain tumors are a significant challenge to human health as they impair the proper functioning of the brain and the general quality of life, thus requiring clinical intervention through early and accurate diagnosis. Although current state-of-the-art ... read more

Humans Neural Networks, Computer Brain Neoplasms Deep Learning Glioma Magnetic Resonance Imaging Meningioma

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews Aug 6, 2025

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more

Humans Artificial Intelligence Neoplasms Socioeconomic Factors Early Detection of Cancer Point-of-Care Testing Liquid Biopsy

Artificial Intelligence Medical Compendium