Artificial Intelligence Medical Compendium

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

Showing 1,331 to 1,340 of 163,745 articles

FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report

arXiv
The increasing complexity and volume of financial transactions pose significant challenges to traditional fraud detection systems. This technical report investigates and compares the efficacy of classical, quantum, and quantum-hybrid machine learni... read more 

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

Stroke
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more 

Robustness of steroidomics-based machine learning for diagnosis of primary aldosteronism: a laboratory medicine perspective.

Clinical chemistry and laboratory medicine
OBJECTIVES: Use of machine learning (ML) in diagnostics offers promise to optimise interpretation of laboratory data and guide clinical decision-making. For this, ML-based outputs should provide robustly reproducible results at least as good as the u... read more 

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling

arXiv
The modeling of genomic sequences presents unique challenges due to their length and structural complexity. Traditional sequence models struggle to capture long-range dependencies and biological features inherent in DNA. In this work, we propose Tr... read more 

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its sensitivity for detecting large vessel occlusion (LVO) is limited. Artificial intelligence (AI) algorithms may contribute to a faster LVO diagnosis us... read more 

MLLM-based Speech Recognition: When and How is Multimodality Beneficial?

arXiv
Recent advances in multi-modal large language models (MLLMs) have opened new possibilities for unified modeling of speech, text, images, and other modalities. Building on our prior work, this paper examines the conditions and model architectures un... read more 

AI-enhanced recognition of occlusions in acute coronary syndrome (AERO-ACS): a retrospective study.

Coronary artery disease
BACKGROUND: Artificial intelligence (AI) augmentation of ECG assessment has significant potential to improve patient outcomes in acute coronary syndrome. read more 

Archiverse: an Approach for Immersive Cultural Heritage

arXiv
Digital technologies and tools have transformed the way we can study cultural heritage and the way we can recreate it digitally. Techniques such as laser scanning, photogrammetry, and a variety of Mixed Reality solutions have enabled researchers to... read more 

Carotid and femoral bifurcation plaques detected by ultrasound as predictors of cardiovascular events.

VASA. Zeitschrift fur Gefasskrankheiten
Risk factor-based algorithms give a good estimate of cardiovascular (CV) risk at the population level but are often inaccurate at the individual level. Detecting preclinical atherosclerotic plaques in the carotid and common femoral arterial bifurcati... read more 

Technological folie à deux: Feedback Loops Between AI Chatbots and Mental Illness

arXiv
Artificial intelligence chatbots have achieved unprecedented adoption, with millions now using these systems for emotional support and companionship in contexts of widespread social isolation and capacity-constrained mental health services. While s... read more