Artificial Intelligence

ISSN 1662-4009 (online)

An indispensable reference tool endorsed by the European Society for Paediatric Endocrinology

Previous issue | Volume 22 | ESPEYB25

Yearbook of Paediatric Endocrinology 2025

14. The Year in Science and Medicine

Previous section
Uğur Cem Yilmaz (YES member), Philipp Augsburger, Therina du Toit, Chrysanthi Kouri, Anne Smit, Isabel Sousa Barata, Ken K Ong & Christa E Flück

Table of contents

Next section
Genomics – Long-Read Sequencing

ey0022.14-1 | Artificial Intelligence

14.1. A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs

ey0022.14-2 | Artificial Intelligence

14.2. Height estimation in children and adolescents using body composition big data: machine-learning and explainable artificial intelligence approach

ey0022.14-3 | Artificial Intelligence

14.3. Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective

ey0022.14-4 | Artificial Intelligence

14.4. Artificial intelligence is going to transform the field of endocrinology: an overview

ESPE Yearbook of Paediatric Endocrinology
ISSN 1662-4009 (Online)
© Bioscientifica 2025 | Privacy policy | Cookie settings

Bioscientifica Abstracts is the gateway to a series of products that provide a permanent, citable record of abstracts for biomedical and life science conferences.

Find out more

ESPE Yearbook of Paediatric Endocrinology