Artificial Intelligence Medical Compendium

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

Showing 50,571 to 50,580 of 225,062 articles

Evaluating the Impact of a Telepresence Robot Intervention on Preoperative Anxiety in Children: A Preliminary Study.

Clinical pediatrics Feb 14, 2026
Preoperative anxiety is common among pediatric patients and is associated with adverse perioperative outcomes. This prospective single-arm pilot study evaluated the feasibility of the WeGo Telepresence Robotics Program-a real-time, child-operated vir... read more 

A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre Feb 14, 2026
OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is linked to high mortality, a challenge that may stem from the absence of effective prognostic models. We developed a machine learning (ML)-based progno... read more 

Towards improved decision making of unruptured intracranial aneurysms using automated segmentation from MRA-TOF with iterative pseudo labeling.

AJNR. American journal of neuroradiology Feb 14, 2026
OBJECTIVE: To enable accurate 3D morphological assessment and support clinical decision making, DIVA-seg: a Deep learning-based method for Intracranial Vessel and Aneurysm segmentation from MRA-TOF using a pseudo labeling approach was developed and v... read more 

Integrated Deep Learning-Based Intracranial Vessel Wall Imaging with DANTE Preparation: Feasibility and Technical Performance.

AJNR. American journal of neuroradiology Feb 14, 2026
PURPOSE: To evaluate the feasibility and technical performance of integrating a Delay Alternating with Nutation for Tailored Excitation (DANTE) preparation into a deep learning-accelerated, post-contrast T1-SPACE sequence for intracranial vessel wall... read more 

CycloPepper: a machine learning platform for predicting cyclization outcomes and optimizing synthesis of therapeutic cyclopeptides.

Nature communications Feb 14, 2026
Cyclic peptides exhibit remarkable stability, membrane permeability, and binding affinity, positioning them as promising therapeutics. However, their synthesis, particularly on-resin head-to-tail cyclization, remains challenging, with cyclization sit... read more 

Longitudinal modeling of Post-COVID-19 condition over three years: A machine learning approach using clinical, neuropsychological, and fluid markers.

Scientific reports Feb 14, 2026
Post-COVID-19 condition (PCC) manifests with prolonged, heterogeneous symptoms challenging both, diagnosis and therapeutic management. This three-year longitudinal study analyzed data from 93 adults (mean age of 48.9 ± 14.0, 60 female) after confirme... read more 

Global spatiotemporal analysis of interactions between urban heat islands and extreme heat waves.

Scientific reports Feb 14, 2026
Extreme heat waves (HWs), defined here as periods when daily maximum temperature exceeds the 98th percentile for three or more consecutive days, pose a significant threat to public health. The extreme heat risk is particularly relevant to urban resid... read more 

Benchmarking MedMNIST dataset on real quantum hardware.

Scientific reports Feb 14, 2026
Quantum machine learning (QML) has emerged as a promising domain to leverage the computational capabilities of quantum systems to solve complex classification tasks. In this work, we present the first comprehensive QML study by benchmarking the MedMN... read more 

Genetic risk in Alzheimer's disease.

NPJ systems biology and applications Feb 14, 2026
Alzheimer's disease (AD) has a strong genetic predisposition. Genome-wide association studies have identified multiple risk loci, yet many non-coding variants remain uncharacterized. Machine learning-based polygenic risk scores (PRS) enhance predicti... read more 

Machine learning-based heat flux estimation from high-speed video during saturated pool boiling over vertical tube.

Scientific reports Feb 14, 2026
Saturated pool boiling over vertical tube has significant importance in various practical applications specifically in the safety of nuclear power plant. The process of boiling is characterized by the formation of bubbles within the liquid. These bub... read more 
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