Artificial Intelligence Medical Compendium

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

Showing 54,791 to 54,800 of 226,183 articles

Pahari POS-tagged corpus: A large-scale linguistic resource for NLP applications.

Data in brief
This paper presents the development of a Part-of-Speech (POS) tagged dataset for Pahari, an under-resourced Indo-Aryan language spoken in Azad Jammu and Kashmir, Pakistan, as well as parts of India and Nepal. The lack of linguistic resources for Paha... read more 

Phenotyping of Patients with Age-Related Macular Degeneration Using Artificial Intelligence-Driven Biomarker Patterns in OCT.

Ophthalmology science
PURPOSE: To leverage artificial intelligence-based OCT analysis to classify age-related macular degeneration (AMD) images into distinct subgroups based on retinal layer and fluid biomarkers. DESIGN: Retrospective analysis of a data set of retinal OCT... read more 

Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Fracture risk is commonly assessed by FRAX, a tool that estimates 10-yr risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are often refined by including FN BMD measured by DXA as an input. Rho, a novel AI-powered software, esti... read more 

Enhancing the Characterization of Dural Tears on Photon-Counting CT Myelography: An Analysis of Reconstruction Techniques.

AJNR. American journal of neuroradiology
Photon-counting detector CT myelography is an effective technique for the localization of spinal CSF leaks. The initial studies describing this technique used a relatively smooth Br56 kernel. However, subsequent studies have demonstrated that the use... read more 

Artificial Intelligence-Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls.

AJNR. American journal of neuroradiology
The advent of anti-amyloid therapies (AATs) for Alzheimer disease (AD) has elevated the importance of MRI surveillance for amyloid-related imaging abnormalities (ARIA) such as microhemorrhages and siderosis (ARIA-H) and edema (ARIA-E). We report a li... read more 

Motion-Informed 3D Deep Learning Reconstruction in Patients with Cognitive Impairment.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Motion artifacts remain a key limitation in brain MRI, particularly during 3D acquisitions in cognitively impaired patients. Most deep learning (DL) reconstruction techniques improve the SNR but lack explicit mechanisms to cor... read more 

Brain-SAM: A SAM-based Model Tailored for Brain MRI Lesion Segmentation

medRxiv
Magnetic resonance imaging (MRI) is a cornerstone of modern neuroimaging, where accurate segmentation of brain structures and lesions is essential for diagnosis, treatment planning, and clinical research. However, most current foundation models are t... read more 

G2DBridge: A Multimodal Framework Linking Genetics to Disease through Imaging Intermediates

medRxiv
Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases thanks to the growth of large-scale biobanks and population-scale genetic studies. However, despite widespread availability, genetic risk prediction ... read more 

Development and internal validation of risk scores to predict survival in the pediatric population following in-hospital cardiac arrest.

medRxiv
Introduction In-hospital cardiac arrest (IHCA) in the pediatric population is associated with poor survival and neurological outcomes. We aimed to develop and internally validate a risk score to predict survival to discharge following pediatric IHCA.... read more 

Genomic Signatures and Prediction of Clinical Severity in Klebsiella pneumoniae infections in a Multicenter Cohort

medRxiv
Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contributing substantially to morbidity, mortality, and healthcare burden. The emergence of strains that combine resistance to last-resort antimicrobials with... read more