Artificial Intelligence Medical Compendium

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

Showing 40,821 to 40,830 of 223,737 articles

Multi-timescale Computation by Astrocytes

bioRxiv
The basic computational unit of the brain has long been defined as the neuron. However, mounting evidence suggests that other cells, especially astrocytes, also perform computations. Here, we demonstrate that cerebellar astrocytes decompose norepinep... read more 

Interpretable and predictive models based on high-dimensional data in ecology and evolution

bioRxiv
The proliferation of high-dimensional data in ecology and evolutionary biology raises the promise of statistical and machine learning models that are highly predictive and interpretable. However, high-dimensional data are commonly burdened with an in... read more 

Parallel circuits in the posterior parietal cortex balance behavioral flexibility and stability

bioRxiv
Rapid behavioral adaptation requires the brain to solve a fundamental computational dilemma: how to flexibly update learned rules while maintaining stable motor performance. This flexibility-stability trade-off is central to cognitive function and ar... read more 

OpenScientist: evaluating an open agentic AI co-scientist to accelerate biomedical discovery

medRxiv
Background: Advances in medicine depend on analyzing large and complex data sources, but discovery is partly constrained by the limited time and domain expertise of human researchers. Agentic artificial intelligence (agentic AI) can accelerate discov... read more 

Development of a Deep Learning Based Framework for Classification of Indian Venomous Snakes Integrated with Explainable Artificial Intelligence for primary and emergency care providers

medRxiv
Background Snakebite envenoming is a significant global health crisis that has been long neglected as a global health priority. It is a huge problem for rural communities of low and middle-income countries, India accounts for the largest proportion o... read more 

Tracking the Changes in Longitudinal MRI-detected Perivascular Spaces following Ischaemic Stroke

medRxiv
Stroke is a leading cause of mortality and morbidity worldwide. MRI-visible perivascular spaces (PVS) are an emerging marker of cerebral small vessel disease and may have prognostic value in stroke. We investigated longitudinal changes in PVS volume ... read more 

Longitudinal effects of CPAP therapy on MRI-Perivascular spaces in obstructive sleep apnoea

medRxiv
Obstructive sleep apnoea (OSA) is a disorder marked by repeated episodes of airway collapse during sleep, leading to hypoxaemia and sympathoexcitation. Its impact on brain fluid transport remains unclear. We investigated MRI-visible perivascular spac... read more 

CARDIAC-FM: A Multimodal Foundation Model for Cardiovascular Risk Prediction Using ECG and Cardiac MRI

medRxiv
Atrial fibrillation and heart failure impose substantial health burdens worldwide, yet existing prediction models lack sufficient accuracy and generalizability. We developed CARDIAC-FM, a multimodal foundation model that learns joint representations ... read more 

Differential Network-Based Causal Graph Learning for Cardiovascular Recurrence Risk Prediction and Factor Discovery

medRxiv
Cardiovascular disease is one of the leading causes of death worldwide, with myocardial infarction (MI) being a major cause of both morbidity and mortality among cardiovascular patients. MI Patients face a higher risk of cardiovascular disease recurr... read more 

Sentiment in Clinical Notes: A Predictor for Length of Stay?

medRxiv
Background: Length of stay (LOS) is a critical metric for hospital operational efficiency. While structured clinical data is widely used to predict LOS, unstructured admission notes contain latent prognostic information regarding diagnostic uncertain... read more