Artificial Intelligence Medical Compendium

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

Showing 1,831 to 1,840 of 213,633 articles

Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals

arXiv
Sleep apnea diagnosis via polysomnography remains resource intensive and relies on time consuming manual data analysis and scoring. Recent work has demonstrated that central nervous system effects of sleep apnea events can be detected through electro... read more 

Inpainting Insights: Elevating Visual XAI with Photorealistic Perturbations

arXiv
The increasing complexity of state-of-the-art machine learning models has made their behavior progressively harder to interpret, spurring rapid advancements in the field of eXplainable Artificial Intelligence (XAI). Among many methods proposed, pertu... read more 

Trajectory-aware Cross-view Geo-localization with Sequential Observations

arXiv
Cross-view geo-localization matches ground-level observations against geo-tagged satellite imagery. Recent methods show that sequential queries such as video clips yield richer spatiotemporal cues than single images, yet they overlook a complementary... read more 

Intentional Electromagnetic Interference Attacks on Facial Recognition

arXiv
Attacks on general computer vision algorithms are often relegated to the digital domain, with the optimization performed purely in the digital world and then translated to physical mediums for implementation. In the field of biometrics, including fac... read more 

Localized mRNAs and protein synthesis in cortical layer 1.

Cell reports
Cortical layer 1 plays an essential role in neural networks, integrating many streams of information and undergoing plasticity during learning. Yet, we know little about the underlying molecular processes and whether layer-specific adaptations exist.... read more 

PEPCAL: A Heuristic Framework for Teaching Generative AI to Continuing Professional Education Providers and Faculty Developers.

The Journal of continuing education in the health professions
Generative AI is rapidly evolving with the potential to change the way we think about and provide continuing professional development (CPD) and faculty development (FD), yet educators may lack practical and theoretically informed guidance for its int... read more 

A hybrid framework for predicting fall impact forces using pose-estimated kinematics and descriptive information.

Journal of biomechanics
Falls are the leading cause of hip fractures among older adults; however, direct measurement of hip impact force during laboratory falls is challenging due to safety constraints. Artificial intelligence (AI)-based pose estimation (e.g., OpenPose, WHA... read more 

Physics-constrained machine learning for impedance-based measurement and sound absorption prediction of composite acoustic materials.

Neural networks : the official journal of the International Neural Network Society
Accurate prediction of sound absorption performance in composite acoustic packages is critical for acoustic material characterization, noise control engineering, and the rational design of acoustic functional materials. However, establishing a precis... read more 

Identification of lactylation-related genes associated with heart failure via bioinformatics and machine learning approaches.

Biochemical and biophysical research communications
BACKGROUND: Heart failure (HF) is the terminal stage of cardiovascular disease with high global prevalence and poor prognosis. This study aimed to identify lactylation-related genes as novel diagnostic biomarkers for HF using bioinformatics and machi... read more