Artificial Intelligence Medical Compendium

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

Showing 6,161 to 6,170 of 205,623 articles

Application of delta radiomics based on cone-beam computed tomography in predicting radiotherapy efficacy for nasopharyngeal carcinoma.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: To investigate the value of cone-beam computed tomography (CBCT)-based delta radiomics for predicting short-term radiotherapy (RT) response in nasopharyngeal carcinoma (NPC). METHODS: A total of 132 pathologically confirmed NPC patients rece... read more 

Artificial Intelligence-Augmented Mixture Toxicology: Reframing Unresolved Risk at Camp Lejeune.

Toxicological sciences : an official journal of the Society of Toxicology
Persistent uncertainty regarding health risks associated with contaminated drinking water at Camp Lejeune reflects a broader limitation in toxicology: The difficulty of evaluating complex chemical mixtures in genetically heterogeneous populations. Hi... read more 

Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.

International journal of obesity (2005)
Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, such as cardio-kidney-metabolic (CKM) issues linked to type 2 diabetes and obesity. It creates new opportunities to shift from reactive to proactive, da... 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 

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 

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 

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 

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 

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