Battle Wilson,  Bala Wasif,  Smith Hayden,  Moon John,  Li Hanzhou,  Weinberg Brent,  Trivedi Hari

Final Pr. ID: Poster #: SCI-003

Pediatric radiology presents unique educational challenges, requiring trainees to master complex imaging patterns across varying patient ages and developmental stages. We developed an innovative learning platform powered by large language models (LLMs) to address these challenges through personalized, adaptive instruction. Our approach aims to bridge the gap between traditional teaching methods and the need for consistent, scalable feedback in pediatric imaging education. Read More

Authors:  Battle Wilson , Bala Wasif , Smith Hayden , Moon John , Li Hanzhou , Weinberg Brent , Trivedi Hari

Keywords:  Adaptive Learning, Educational Informatics

Tiangco Justin Christian,  Andres Mariaem

Final Pr. ID: Poster #: SCI-014

The subspecialty of Pediatric Radiology is crucial for providing accurate diagnoses and guiding treatment for pediatric patients. This study evaluates the impact of a four-lecture series on Pediatric Radiology on the knowledge of clinical pediatric residents. It focuses on the American
College of Radiology Appropriateness Criteria (ACR-AC) and the ability to select suitable imaging modalities. Read More

Authors:  Tiangco Justin Christian , Andres Mariaem

Keywords:  Adaptive Learning, Education, Pediatric Radiology