Artificial Intelligence Medical Compendium

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

Showing 1,341 to 1,350 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 

Underwater Waste Detection Using Deep Learning A Performance Comparison of YOLOv7 to 10 and Faster RCNN

arXiv
Underwater pollution is one of today's most significant environmental concerns, with vast volumes of garbage found in seas, rivers, and landscapes around the world. Accurate detection of these waste materials is crucial for successful waste managem... read more 

Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Circulation. Arrhythmia and electrophysiology
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Fast Learning of Non-Cooperative Spacecraft 3D Models through Primitive Initialization

arXiv
The advent of novel view synthesis techniques such as NeRF and 3D Gaussian Splatting (3DGS) has enabled learning precise 3D models only from posed monocular images. Although these methods are attractive, they hold two major limitations that prevent... read more 

Neural Correction Operator: A Reliable and Fast Approach for Electrical Impedance Tomography

arXiv
Electrical Impedance Tomography (EIT) is a non-invasive medical imaging method that reconstructs electrical conductivity mediums from boundary voltage-current measurements, but its severe ill-posedness renders direct operator learning with neural n... 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 

Towards Domain Specification of Embedding Models in Medicine

arXiv
Medical text embedding models are foundational to a wide array of healthcare applications, ranging from clinical decision support and biomedical information retrieval to medical question answering, yet they remain hampered by two critical shortcomi... 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 

SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions

arXiv
Connected and software-defined vehicles promise to offer a broad range of services and advanced functions to customers, aiming to increase passenger comfort and support autonomous driving capabilities. Due to the high reliability and availability r... read more 

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence

arXiv
Understanding the decisions made by deep neural networks is essential in high-stakes domains such as medical imaging and autonomous driving. Yet, these models often lack transparency, particularly in computer vision. Prototypical-parts-based neural... read more