Artificial Intelligence Medical Compendium

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

Showing 1,251 to 1,260 of 200,346 articles

Self-supervised representation learning reveals explainable physiological structure in high-dimensional magnetocardiography.

NPJ digital medicine
Artificial intelligence (AI) has shown strong performance in cardiology, but most approaches rely on sensing modalities whose physical limitations constrain available information. Magnetocardiography (MCG) records the cardiac magnetic field with less... read more 

Prediction of syncope recurrence after percutaneous closure of patent foramen ovale based on machine learning.

Scientific reports
Patent foramen ovale (PFO) has been increasingly associated with otherwise unexplained syncope, but predictors of syncope recurrence after percutaneous closure remain unclear. This study aimed to develop and internally evaluate machine-learning model... read more 

Implementing Artificial Intelligence-Enabled Ambient Documentation Technology for Ambulatory Clinicians: An Innovation Evaluation.

Journal of general internal medicine
BACKGROUND: Artificial intelligence (AI)-enabled "ambient" documentation may reduce clinician administrative burdens and improve care delivery, but implementation in clinical practice is complex. AIM: To evaluate the implementation of commercially av... read more 

Machine learning models for predicting postpartum convulsions using clinical indicators from PMA Ethiopia data.

Scientific reports
Postpartum convulsions, defined as seizure episodes occurring after childbirth during the postpartum period, remain a major cause of maternal morbidity and mortality in Ethiopia. This study aimed to develop and validate machine learning models to pre... read more 

AI for predicting exacerbations in KIDs with asthma (AIRE-KIDS).

NPJ digital medicine
Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Machine learning (ML) applied to electronic medical records (EMR) may help identify children at high risk and enable targeted referral to preventative car... read more 

Improving seismic fault detection through fault-balanced patch extraction and deep learning networks (UNet, Efficient-UNet, and VGG19-UNet).

Scientific reports
Accurate seismic fault detection is essential for reliable structural interpretation, reservoir characterization, and drilling risk mitigation. Conventional attribute-based methods often suffer from noise sensitivity, fragmented fault continuity, and... read more 

A deep learning approach for keratoconus detection using spatio-temporal features from corneal imaging.

Scientific reports
Keratoconus is a progressive corneal disease that requires early and accurate detection to prevent severe visual impairment. This study presents a deep learning-based classification model for distinguishing between healthy and keratoconic eyes using ... read more 

Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand.

Scientific reports
As intelligent manufacturing systems increasingly pursue mass customization and rapid market responsiveness, efficient resource allocation has become a critical determinant of production competitiveness. Dynamic resource scheduling in such systems in... read more 

Passive heart-rate monitoring during smartphone use in everyday life.

Nature
Resting heart rate (RHR) is a key biomarker of cardiovascular health and mortality1-3, but passively tracking it longitudinally generally requires a wearable device, limiting its availability. Here we present passive heart-rate monitoring (PHRM), a d... read more 

Conditional survival patterns and individualized prognostic prediction in malignant peritoneal mesothelioma.

Scientific reports
Malignant peritoneal mesothelioma (MPM) is a rare, aggressive cancer with limited treatment options and extremely poor survival outcomes. Due to the disease's low incidence, large-scale cohort studies to clarify survival outcomes and the impact of tr... read more