Artificial Intelligence Medical Compendium

BACKGROUND: The prevalence of depression and anxiety among college students worldwide is on the rise, significantly impacting their health and quality of life. Traditional mental health screening scales have some limitations, including subjectivity a... read more 

OBJECTIVE: Venture capital (VC) is playing a growing role in driving innovation in health care. Although previous studies have examined VC trends in various medical fields, limited research has focused on investment patterns in radiology. This study ... read more 

BACKGROUND: Manual abstraction of real-world data (RWD) from unstructured health records (HRs) remains resource intensive, error prone, and highly variable across institutions. Large language models (LLMs) offer a scalable alternative, but their perf... read more 

Greater consumption of food prepared out of the home (OOH) is associated with higher energy intake. Strategies are needed to make eating OOH food less harmful to health. Identifying menu characteristics associated with higher energy consumption could... read more 

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltration, while melanoma, though less fibrotic, remains highly metastatic and treatment-resistant. To over... read more 

BACKGROUND AND OBJECTIVES: Timely treatment of pediatric obstructive sleep apnea (OSA) can prevent or reverse neurocognitive and cardiovascular morbidities. However, whether distinct phenotypes exist and account for divergent treatment effectiveness ... read more 

Alzheimer's disease (AD) involves progressive cholinergic degeneration, with acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) playing key enzymatic roles in its pathology. In this study, we computationally repurposed four FDA-approved qui... read more 

BACKGROUND: Pericoronary adipose tissue (PCAT) attenuation on coronary computed tomography angiography (CCTA) reflects local vascular inflammation, but its prognostic performance across heterogeneous imaging protocols and follow-up durations remains ... read more 

BACKGROUND: Pediatric obstructive sleep apnea (OSA) affects ∼3 % of children and causes adverse neurocognitive, behavioral, and cardiovascular outcomes. Polysomnography (PSG) remains the gold standard but faces accessibility constraints. This review ... read more 

PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI for predicting preoperative perineural invasion (PNI) in pancreatic ductal adenocarcinoma (PDAC) and to evaluate its role in guiding postoperative prog... read more