Artificial Intelligence Medical Compendium

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

Showing 13,241 to 13,250 of 211,153 articles

MASHA: A Multi-Agent System for Healthcare Sentiment Analysis Using AI for Migraine Detection in Arabic Tweets

medRxiv
Migraine detection and sentiment analysis in healthcare have become increasingly important, particularly with the rise of social media platforms like Twitter, where users often share their personal health experiences. This study presents MASHA (Multi... read more 

Deep Learning and Machine Learning for Early Detection of Alzheimer's Disease: A Systematic Review and Meta-Analysis

medRxiv
Alzheimer's disease is a progressive neurodegenerative disorder that poses a growing global public health challenge. Early and accurate diagnosis is critical for effective treatment, clinical trial participation, and disease management. This systemat... read more 

Estimating bone marrow adiposity from head MRI and identifying its genetic architecture

medRxiv
Bone marrow adiposity changes radically through the lifespan, but this phenomenon is poorly characterised and understood in humans. Large datasets of magnetic resonance imaging (MRI) scans of the head have been collected to study the human brain, but... read more 

Task-Parametrized Dynamics: Representation of Time and Decisions in Recurrent Neural Networks

bioRxiv
How do recurrent neural networks (RNNs) internally represent elapsed time to initiate responses after learned delays? To address this question, we trained RNNs on delayed decision-making tasks with progressively increasing temporal demands, including... read more 

Toward CT-based Tractography: Presurgical White Matter Tract Mapping in Intracerebral Hemorrhage

bioRxiv
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (ICH) surgery, but it currently relies on tractography from diffusion MRI (dMRI), which has limited applicability in urgent or resource-constrained sett... read more 

geneML: Gene annotation across diverse fungal species using deep learning

bioRxiv
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and alternative splicing challenge existing ab initio methods. Here, we present geneML, a deep learning-based gene prediction tool tailored to fungal geno... read more 

A Systematic Comparison of tTIS Optimization Approaches for Focal Neuromodulation

bioRxiv
stimulation (tTIS) is a promising non-invasive brain stimulation technique that has the potential to selectively modulate deep brain regions by delivering two high-frequency alternating currents that interfere to produce a low-frequency amplitude-mod... read more 

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk

bioRxiv
Identifying what makes species vulnerable to extinction requires accounting for complex biological and environmental interactions. Due to their high predictive accuracy, machine learning methods have been widely used for these assessments; however, r... read more 

De novo designed cyclic MC4R peptide agonist reduces food intake in mice

bioRxiv
Deep learning-based structure prediction enables the design of peptide ligands without relying on naturally occurring scaffolds. However, most computationally generated peptides are not advanced beyond initial activity measurements, leaving the path ... read more 

Progeny differentiation in faba bean using hyperspectral images and machine learning

bioRxiv
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diets shift towards more plant-based nutrition. To realise this potential, advances in breeding and cultivation are crucial. To exploit heterosis, faba be... read more