Artificial Intelligence Medical Compendium

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

Showing 37,771 to 37,780 of 223,469 articles

A hybrid deep learning framework for epileptic seizure prediction using scalp and intracranial EEG data.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Epilepsy is a prevalent neurological disorder affecting over 50 million people globally, often impairing quality of life due to unpredictable and recurrent seizures. Despite advances in seizure prediction, challenges remain due to variability in EEG ... read more 

Physics-informed multi-task learning framework for modelling microplastic impacts on sea turtle nest temperature and sex determination.

Marine pollution bulletin
Microplastic (MP) pollution in coastal nesting beaches may alter the thermal environment of sea turtle nests and shift hatchling sex ratios through temperature-dependent sex determination (TSD). This study investigates how MP abundance and characteri... read more 

Multiphysics learning with graph neural networks for thrombosis prediction in intracranial aneurysms.

Computers in biology and medicine
Intracranial aneurysms are pathological dilations of cerebral arteries affecting 3-5% of the population. Their rupture can cause subarachnoid hemorrhage, a severe form of stroke with high mortality and morbidity. Endovascular treatments, such as coil... read more 

Large language models for risk-of-bias assessment in randomised clinical trials-a comparative validation study.

EBioMedicine
BACKGROUND: Large language models (LLMs) are emerging tools for evidence synthesis. Risk of bias (RoB) assessment of trials remains an essential but time-consuming step inconsistent even amongst experts. Early LLM studies showed mixed reliability. Ad... read more 

Threat or opportunity? Challenge vs hindrance appraisals of generative AI and self-regulated teaching among pre-service EFL teachers: A COR perspective.

Acta psychologica
This study investigates how Chinese pre-service teachers of English as a foreign language (EFL) develop self-regulated teaching competencies in the face of disruptions posed by generative artificial intelligence (GenAI) and structural limitations wit... read more 

Agentic AI for Prostate Cancer: A Vision for Multimodal Clinical Intelligence.

European urology oncology
While artificial intelligence (AI) is rapidly advancing in prostate cancer diagnostics and therapy planning, its impact on everyday clinical decision-making remains marginal. To fill this gap, "Agentic AI systems" are under development: working at an... read more 

Fast evaluation of unbiased atomic forces in ab initio variational Monte Carlo via the Lagrangian technique.

The Journal of chemical physics
Ab initio quantum Monte Carlo (QMC) methods are state-of-the-art electronic structure calculations based on highly parallelizable stochastic frameworks for accurate solutions of the many-body Schrödinger equation, suitable for modern many-core superc... read more 

Machine learning for biomolecular modeling.

The Journal of chemical physics
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On the boroxol ring fraction in melt-quenched B2O3 glass: Insights from machine learning potentials.

The Journal of chemical physics
An atomistic structural model for melt-quenched B2O3 glass has eluded the simulation community so far. The difficulty lies in the abundance of six-membered boroxol rings-an intermediate-range order motif suggested by Raman and NMR spectroscopy-which ... read more 

Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection.

Scientific reports
Android malware detection systems face critical challenges including data scarcity for emerging threat families, high-dimensional feature spaces, and concept drift caused by evolving attack techniques. Traditional machine learning approaches require ... read more