Artificial Intelligence Medical Compendium

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

Showing 1,601 to 1,610 of 163,957 articles

Dual Path Learning -- learning from noise and context for medical image denoising

arXiv
Medical imaging plays a critical role in modern healthcare, enabling clinicians to accurately diagnose diseases and develop effective treatment plans. However, noise, often introduced by imaging devices, can degrade image quality, leading to misint... read more 

Closing the Modality Gap for Mixed Modality Search

arXiv
Mixed modality search -- retrieving information across a heterogeneous corpus composed of images, texts, and multimodal documents -- is an important yet underexplored real-world application. In this work, we investigate how contrastive vision-langu... read more 

Machine Learning Identification of Athlete Sport Type Through ECG Analysis.

Circulation. Arrhythmia and electrophysiology
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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 

CXR-CML: Improved zero-shot classification of long-tailed multi-label diseases in Chest X-Rays

arXiv
Chest radiography (CXR) plays a crucial role in the diagnosis of various diseases. However, the inherent class imbalance in the distribution of clinical findings presents a significant challenge for current self-supervised deep learning models. The... read more 

Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning

arXiv
Automatic classification of Diabetic Retinopathy (DR) can assist ophthalmologists in devising personalized treatment plans, making it a critical component of clinical practice. However, imbalanced data distribution in the dataset becomes a bottlene... 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