Artificial Intelligence Medical Compendium

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

Showing 12,681 to 12,690 of 210,436 articles

Inhibitory control deficits and ventral attention network alterations linked to apathy in schizophrenia.

Translational psychiatry
Individuals with schizophrenia demonstrated impaired inhibitory control and apathy symptoms, which are characterized by a reduction in self-initiated voluntary activities. However, whether deficits in inhibitory control are linked to apathy remains u... read more 

DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular Zone.

Studies in health technology and informatics
Glioblastoma is an aggressive brain cancer that kills approximately one hundred thousand people worldwide every year. Unfortunately, treatment and therapy for patients with this disease are complicated and have limited efficacy in improving individua... read more 

Prediction of Postoperative Complications Following Mandibular Fractures Using Machine Learning.

Studies in health technology and informatics
Postoperative complications in oral and maxillofacial surgery (OMFS), pose a significant challenge to patient recovery. Accurate prediction of such complications could enable earlier interventions and improve clinical outcomes. Advances in machine le... read more 

Estimating Transepidermal Water Loss from Smartphone Facial Images Using Self-Supervised Features and a Mixture Density Network.

Studies in health technology and informatics
Skin conditions fluctuate daily, and the subtle changes are difficult to detect. Transepidermal water loss (TEWL), a key indicator of skin barrier function, is effective for monitoring these changes; however, its measurement requires specialized and ... read more 

Fully Automated Colon Delineation and Volume Estimation in T2-Weighted MRI with a 2D U-Net.

Studies in health technology and informatics
Artificial intelligence has the potential to provide an objective, accurate and fast evaluation of the colon for clinical assessment of gastrointestinal diseases, such as chronic constipation. Accurate colon segmentation is a labor-intensive task, pr... read more 

Statistical Models Addressing Acute Respiratory Diseases: A Scoping Review.

Studies in health technology and informatics
This review highlights the application of statistical models in addressing respiratory diseases worldwide. A scoping review was conducted following Joanna Briggs Institute methodology, with searches in Medline (PubMed), Web of Science, LILACS, BVS, C... read more 

Representation of Ordinal Features: Supervised Embeddings in the Survival Prediction of Prostate Cancer Patients.

Studies in health technology and informatics
Prostate cancer (PCa) is the most common cancer in men. Treatment decisions for PCa consider factors like age, tumor stage, and grade, along with specific prostate-related factors such as prostate-specific antigen (PSA) level and Gleason score. Most ... read more 

Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach.

Studies in health technology and informatics
Cancer remains a major public health challenge driven by complex interactions among sociodemographic, behavioral, clinical, and environmental factors. This study investigated how temporal changes in health-related features are associated to prevalent... read more 

Overcoming Domain Shift in Atypical Mitotic Figure Detection with Deep Ensemble Learning.

Studies in health technology and informatics
The morphological classification of atypical mitotic figures (AMFs) is a critical prognostic task in histopathology, but deep learning models often lack generalization across diverse clinical settings. This study presents a robust and reproducible pi... read more