Artificial Intelligence Medical Compendium

Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care. This clinician-focused review synthesizes current evidence for AI-enabled prevention and screening (HPV-informed risk models, AI-assisted colposcopy)... read more 

UNLABELLED: Uncovering cell morphology within communities is crucial to understanding how collective groups of organisms can function and adapt to their environments. Key questions remain regarding how cell morphology influences population behaviors ... read more 

Artificial intelligence (AI) has transformed scientific inquiry across disciplines, including the psychological sciences. In psychology, AI serves not only as an analytic tool but also as a computational model of the very processes the field seeks to... read more 

Utilizing an extensive library of literature on photocatalytic transformations, we disclose the development of a machine learning (ML) model for the recommendation of photocatalysts most suitable for reactions of interest. The model is trained on > 3... read more 

Signal amplification by reversible exchange (SABRE) is a hyperpolarization method that polarizes target nuclei of metabolites quickly and efficiently. Recent SABRE advances, including Ace-SABRE, yield biocompatible, aqueous solutions of hyperpolarize... read more 

BACKGROUND & AIMS: The incidence of early-onset colorectal cancer (EOCRC; diagnosed before age 50 years) continues to increase, now standing as the leading cause of cancer-related deaths in young men. Screening participation in young adults remains l... read more 

OBJECTIVES: Alpha-1-antitrypsin deficiency (AATD) is a rare genetic disorder leading to chronic obstructive pulmonary disease (COPD). Emphysema is the major structural damage visible on CT scans. However, there is little knowledge on the association ... read more 

Epigenetic macromolecular enzyme complexes tightly regulate gene expression at the chromatin level and have recently been found to colocalize with RNA splicing machinery during active transcription; however, the precise functional consequences of the... read more 

Continual learning is a crucial capability for deep-learning models in real-world applications, enabling them to acquire new knowledge while avoiding catastrophic forgetting. With advances in large-scale pre-trained models, recent methods have begun ... read more 

Right ventricular myocardial infarction (RVMI) is associated with higher in-hospital morbidity and mortality. Cardiac magnetic resonance (CMR) imaging provides crucial pathological information for diagnosis and/or treatment of RVMI. Segmentation of R... read more