Searchable abstracts of presentations at key conferences in endocrinology

ea0090p222 | Thyroid | ECE2023

Prediction and Classification models for Hashimoto’s thyroiditis risk using clinical and paraclinical data

Corlan Ana-Silvia , Diogen Babuc , Flavia Costi , Darian Onchis

Background: Hashimoto’s thyroiditis (HT) is the most common autoimmune disorder and, also, the leading cause of hypothyroidism in iodine-sufficient areas. In recent years, a concept emerged, that thyroid autoimmunity could be associated with low-grade chronic inflammation, which may result in future cardiovascular comorbidities, independent of thyroid function. It is therefore essential to diagnose Hashimoto’s thyroiditis as early as possible and to test for thyroid ...

ea0099ep695 | Pituitary and Neuroendocrinology | ECE2024

An artificial intelligence system for estimating the improvement of clinical and paraclinical parameters after therapy in pituitary tumors

Corlan Ana-Silvia , Diogen Babuc , Flavia Costi , Vlad Mihaela , Balas Melania , Golu Ioana , Amzar Daniela-Georgiana , Darian Onchis

Pituitary tumors usually have an excellent prognosis after targeted treatment involving surgery, radiotherapy and medical therapy. Metabolic abnormalities are encountered in 22.3-52.5% of pituitary adenoma patients and are correlated with disease progression and prognosis. Therefore, in this study, we propose an artificial intelligence system for estimating the improvement of clinical and paraclinical parameters for patients undergoing therapy. The patient cohort is made out o...