Imaging Assessment of the Pituitary Gland and Long-Term Endocrinological Abnormalities in Pediatric Brain Cancer Survivors.

Background: Pediatric brain cancer survivors often experience hypothalamic-pituitary dysfunction due to cranial irradiation and chemotherapy. While hormone deficiencies have been studied, the changes in pituitary size and shape on long-term MRI and their relationship to endocrine dysfunction remain under-explored.

Purpose: To evaluate pituitary gland height, volume, and shape in relation to long-term endocrine abnormalities in pediatric brain tumor survivors.

Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management.

Background: Predicting hospitalization from nurse triage notes has the potential to augment care. However, there needs to be careful considerations for which models to choose for this goal. Specifically, health systems will have varying degrees of computational infrastructure available and budget constraints.

Predictive factors for radiation-induced pituitary damage in pediatric patients with brain tumors.

Background And Purpose: Multiple studies demonstrated hypothalamic-pituitary dysfunction in survivors of pediatric brain tumors. However, few studies investigated the trajectories of pituitary height in these patients and their associations with pituitary function. We aimed to evaluate longitudinal changes of pituitary height in children and adolescents with brain tumors, and their association with endocrine deficiencies.

Bidirectional Encoder Representations from Transformers in Radiology: A Systematic Review of Natural Language Processing Applications.

Introduction: Bidirectional Encoder Representations from Transformers (BERT), introduced in 2018, has revolutionized natural language processing. Its bidirectional understanding of word context has enabled innovative applications, notably in radiology. This study aimed to assess BERT's influence and applications within the radiologic domain.