Artificial Intelligence Medical Compendium

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

Showing 27,651 to 27,660 of 218,939 articles

Predicting Expiration Among Potential Donation after Circulatory Death Donors at 30- and 120 Minutes Post Extubation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict... read more 

Choline kinase beta promotes psoriasis pathogenesis by regulating sphingolipid metabolism and activating the PI3K/Akt/GSK3β signaling pathway.

Biochimica et biophysica acta. Molecular basis of disease
Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This study aimed to identify and validate novel metabolic regulators in psoriasis. Using a multi-stage bio... read more 

Integrating EEG microstate dynamics in a stacked ensemble for neurodiagnostic ASD assessment.

Behavioural brain research
Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterogeneity and the current reliance on subjective behavioral assessments. To address this, we propose a novel stacked ensemble machine learning framework ... read more 

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

Revista espanola de cardiologia (English ed.)
INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in adults. However, no risk score has been validated in pediatric populations. Our aim was to adapt the REVEAL Lite 2 score to pediatrics, including grou... read more 

Multidimensional transcriptomic analysis and in vitro experiments dissect the landscape of 2',2',4',4'-Tetrabromodiphenyl ether in bladder cancer progression.

Chemico-biological interactions
2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphenyl ethers, has attracted considerable attention due to its environmental persistence and extensive use. Although epidemiological data associate BDE-47... read more 

Topo-UNet: A topology-aware multi-task network for pulmonary vessel segmentation.

Artificial intelligence in medicine
The precise segmentation of pulmonary vessels is crucial for the early diagnosis and treatment of pulmonary diseases. However, vessel images are frequently compromised by high levels of noise and blurred boundaries, which complicate the extraction of... read more 

Prediction of retained placenta in holstein dairy cows based on machine learning approaches: Comparative analysis of risk factors and predictive algorithms.

Preventive veterinary medicine
Retained placenta (RP) is a common postpartum disorder in dairy cows that significantly impairs reproductive performance and farm profitability. This study aimed to identify key risk factors and develop a robust machine learning (ML)-based predictive... read more 

Analysis and visualization of expression patterns with fuzzy sets as FlowSets.

NAR genomics and bioinformatics
The growing availability of high-dimensional, complex datasets demands analysis methods that are both interpretable and flexible. We introduce FlowSets, a novel framework for identifying and analysing flows-fuzzy, interpretable patterns-across multip... read more 

CNV-Hub: an integrated web-based platform for CNV classification and interpretation using multi-algorithm consensus.

NAR genomics and bioinformatics
Copy number variations (CNVs) are genomic alterations that can cause rare genetic diseases. Their interpretation requires consulting multiple databases and following classification guidelines, such as those from the American College of Medical Geneti... read more 

Predicting Achilles tendon and patellofemoral joint forces during running with consumer-grade wearable sensor data.

Journal of biomechanics
Estimating internal forces at common injury locations may identify injury-prone runners but requires in-lab gait analysis. Consumer-grade wearable-sensors track key gait metrics, which may enable prediction of internal forces during real-world runnin... read more