Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 12,521 to 12,530 of 210,436 articles
AI-Driven Detection and Classification of Voice Disorders Using Acoustic Recordings.
Journal of voice : official journal of the Voice Foundation
May 22, 2026
OBJECTIVES: To develop and evaluate artificial intelligence (AI) models for detecting and classifying voice disorders using acoustic recordings, aiming to facilitate earlier diagnosis and optimize clinical resource allocation. METHODS: This multicent... read more
A multimodal ocular aging index reveals proteomic pathways and predicts incident age-related eye diseases.
npj aging
May 22, 2026
Chronological age incompletely captures heterogeneity in biological aging. In this prospective study of 45,819 UK Biobank participants, we developed a multimodal ocular aging index (MOAI) by integrating ophthalmic phenotypes with plasma proteomic and... read more
Item recommendation and quantum correlation on multiple datasets.
Scientific reports
May 22, 2026
Recommender systems are crucial for customizing user experiences across diverse sectors such as e-commerce and entertainment. Traditional correlation methods have been employed to forecast user preferences; however, they frequently prove inadequate w... read more
Facies classification and channel detection for reservoir characterization using self-organizing maps in geologically complex groningen gas field, The Netherlands.
Scientific reports
May 22, 2026
Facies classification and channel detection remain challenging in geologically complex reservoirs. Faulting, thin-bed effects, and wavelet interference strongly influence seismic responses in such settings. This study presents an integrated multi-att... read more
Heart disease diagnosis and categorization from ECG signals using hybrid Fuzzy-CNN machine optimized by meta-heuristic algorithms.
Scientific reports
May 22, 2026
Cardiovascular diseases are among the most important causes of global mortality, and their diagnosis is mainly based on ECG signals. The complexity and nonlinearity of these signals have limited the effectiveness of classical machine learning methods... read more
Robust machine learning modeling for multi-parameter prediction in friction stir welding of naval brass: a case study towards industry 4.0.
Scientific reports
May 22, 2026
This study establishes a comprehensive machine learning (ML) framework for accurately predicting essential friction stir welding (FSW) attributes in naval brass, focusing on weld temperature, strength, and hardness. To address insufficient experiment... read more
Impact of adopting digital FinTech techniques on banks' cyber and systemic risks.
Scientific reports
May 22, 2026
The rapid advancement of financial technology (FinTech) mandates a thorough investigation into its adverse effects, focusing on cyber risks and systemic vulnerabilities. This study aims to examine the impact of digital FinTech techniques, specificall... read more
Machine-learning-based cardiovascular mortality prediction using a cumulative PM2.5 exposure metric in high risk groups: a retrospective cohort study.
Scientific reports
May 22, 2026
Classical risk factors for cardiovascular disease (CVD) are well established. Although the association between air pollution (AP) and CVD is also well recognized, its integration into cardiovascular mortality risk prediction models remains limited, p... read more
Enhancing drought forecasting with CNN-TQWT and metaheuristic hybrids: evidence from Norway.
Scientific reports
May 22, 2026
Droughts are among the most damaging natural hazards, exerting severe impacts on ecosystems, economies, and societies. While typically catastrophic, their effects can vary across regions, including polar areas where outcomes may differ unexpectedly. ... read more
Next-generation intelligent framework for pan evaporation prediction: introducing Chebyshev polynomial-based Kolmogorov-Arnold networks.
Scientific reports
May 22, 2026
Pan evaporation (Epan) is one of the crucial parameters in hydrological studies, sustainable agricultural development, and water resources management. Predicting Epan remains a challenging problem among researchers worldwide because of its dependency... read more
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