hrp0098rfc2.6 | Bone, Growth Plate and Mineral Metabolism | ESPE2024

Comparison of two automated bone age evaluation methods in pediatric patients with growth and puberty disorders

Lore Ruiz Arana Inge , Lechanteur Victor , Busiah Kanetee , Bouthors Thérèse , Christina Antoniou Maria , Stoppa Sophie , Ruspa Martina , Alamo Leonor , Hauschild Michael

Purpose: Artificial intelligence (AI) is increasingly used for medical imaging procedures, including automated bone age (BA) evaluation. We aimed to evaluate the agreement between two different BA methods, the IB lab PANDA® and BoneXpert® artificial intelligence methods vs. the manual reference rating in children for BA determination, and to compare the IB lab PANDA performance to the BoneXpert method.<stron...

hrp0084p2-257 | Diabetes | ESPE2015

Developing a Targeted, Mobile-Health Technology (E-Book) to Promote Self-Care During Diabetes Transition

Dwyer Andrew , Unal Samaita , Emmanouilidis Severine , Aquarone-Vaucher Marie-Paule , Pichard Silvia , Gyuriga Teresa , Korpes Joelle , Jornayvaz Francois , Gonzalez-Rodriguez Elena , Elowe-Gruau Eglantine , Stoppa Sophie , Zanchi-Delacretaz Anne , Puder Jardena , Amati Francesca , Bouthors Therese , Phan-Hug Franziska , Pitteloud Nelly , Hauschild Michael

Background: For young adults with type 1 diabetes, transition from a paediatric setting to an adult care setting is a vulnerable period with risks for gaps in care. These emerging adults need to develop skills for managing their diabetes yet it is often challenging to cover all anticipatory guidance topics related to type 1 diabetes. In the context of a structured transition clinic, we hypothesized that by leveraging teensÂ’ facility with technology and marketing/design we...