Artificial Intelligence Medical Compendium

Neural architecture search explores the architecture space, referred to as the design spaces, to find an architecture that produces good results. Various approaches, such as genetic algorithms, are usually used to explore this space. This study inves... read more 

BACKGROUND AND OBJECTIVE: Recognizing pilot operational intent is crucial for enhancing flight safety and improving the efficiency of human-machine interaction. Electroencephalography (EEG), known for its high temporal resolution and non-invasive acq... read more 

Extracorporeal membrane oxygenation (ECMO) has emerged as a critical intervention in the management of patients with end-stage lung disease undergoing lung transplantation. Its applications span pretransplant bridging, intraoperative support, and pos... read more 

Unsteady flows are ubiquitous in critical fields such as aerospace and energy. Due to their high-dimensional and complex properties that evolve across space and time, spatio-temporal flow field prediction remains a challenge in exploring the underlyi... read more 

AIM: To evaluate the performance of an artificial intelligence (AI) system in diagnosing pulp conditions in adult patients, using a modified Wolters diagnostic classification. METHODOLOGY: A cross-sectional study was conducted. Data from 200 teeth of... read more 

We describe a focus group study of public perceptions of "deepfake" technology, that is, digitally manipulated videos that show people saying or doing things they never really did. The study was designed to explore the relationship between degree of ... read more 

Glycosylation, the enzymatic addition of carbohydrate moieties to proteins, is essential for immune recognition, protein folding, and disease progression. The structural complexity of glycans and the heterogeneity of glycosylation sites present signi... read more 

Alcohol use disorder (AUD) is a prevalent psychiatric disorder that continually causes significant suffering. Although pharmacotherapies are available, they have low efficacy and show little compliance. Thus, new approaches for AUD treatment are stil... read more 

BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of life, treatment adherence, and prognosis. This study aimed to develop and validate a predictive model estimating the risk of depressive episodes in asthm... read more 

OBJECTIVE: This study aims to develop and validate a model for predicting the 1-year recurrence of adenomatous polyps following endoscopic mucosal resection (EMR), and explore associated risk factors. METHODS: Patients who underwent their first EMR f... read more