Endocrine Abstracts

Objective: To evaluate the impact of a decision support system (DSS) based on artificial intelligence (AI) -KoiosDS- on ultrasound (US) image analysis and risk stratification in thyroid nodules. Material and methods Retrospective US study of all thyroid nodules with histologic (AP) result from June 2020 to December 2021. Diagnostic performance of US with ACR-TIRADS, by four endocrinologists and DSS, before and after the use of AI was evaluated.Results: A...

Objective: To evaluate the impact of a decision support system (DSS) based on artificial intelligence (AI) -KoiosDS- on ultrasound (US) image analysis and risk stratification in thyroid nodules.Material and methods: Retrospective US study of all thyroid nodules with histologic (AP) result from June 2020 to December 2021. Diagnostic performance of US with ACR-TIRADS, by six endocrinologists and DSS, before and after the use of AI was evaluated.<p clas...

Objective: This study aims to assess the utility of salivary cortisol (SC) in diagnosing adrenal insufficiency (AI) and to analyze the integrity of the hypothalamic-pituitary-adrenal axis. This involves evaluating cortisol rhythm, its correlation with plasma levels, and the impact of exogenous hydrocortisone (HC) substitution on SC determination.Methods: A prospective study was conducted on all patients with suspected AI undergoing adrenocorticotropic ho...

Background and Aim: Data support the use of hybrid closed-loop systems, because of it positive impact in the management of patients with type 1 diabetes (T1D). The aim was to evaluate the impact of an hybrid closed-loop system in patients with T1D at high risk of hypoglycemia.Methods: Retrospective study of patients with T1D controlled in a Endocrinology department older than 17 years old, who were carriers of an Insulin Pump (MiniMed™640G) and Flas...