Gauguet Jean-marc,  Tyrrell Cornelius,  Macnow Theodore,  Pandya Aniket

Final Pr. ID: Poster #: EDU-003

At our institution, a pediatric hospital within a larger academic center, radiology residents independently interpret pediatric radiology studies performed after hours. These studies are finalized by an attending pediatric radiologist and any discrepancies from the preliminary report to the final report are tracked. We wanted to develop a streamlined approach to better understand the types of discrepancies, whether there were patterns to the types of these discrepancies, and then use this information to build improved and tailored educational material for our residents.

We used MS365 Copilot/ChatGPT-5 to evaluate fully anonymized discrepancy notifications from radiology resident overnight reports. We had this large language model (LLM) categorize the types of discrepancies (musculoskeletal, abdomen, genitourinary, neuro, chest, spine, and others). We used the LLM evaluate for patterns of errors within each of these categories. Based on these patterns, educational material was designed with the use of these LLM.

Over an 8-month period (Jan 2025-August 2025) there were a total of 436 discrepancy cases identified. Most discrepancy cases involved musculoskeletal (41%), chest (27%), and spine (12%) misinterpretations. Within the musculoskeletal category, most misses involved fractures involving the elbow (20%), forearm (22%) and distal tibia (15%). In the chest category, resdients had difficulty distinguishing bronchial wall thickening from pneumonia (64%). To address the identified deficiencies, a pediatric ED lecture series has been added to the resident education. LLMs are being utilized to help design and focus these specific lecture topics. Additional, refined, and tailored didactic topics include elbow fractures, distal tibial fractures, pediatric pneumonia, and spine fractures.

Artificial intelligence and large language models can be usedl to evaluate data from overnight pediatric radiology resident discrepancy reports to help identify areas of deficiency and improve resident education through design and refinement of lecture topics. Read More

Authors:  Gauguet Jean-marc , Tyrrell Cornelius , Macnow Theodore , Pandya Aniket

Keywords:  Education, Educational Intervention, Resident Training

Hailu Samuel Sisay,  Noor Abass,  Darge Kassa

Final Pr. ID: Poster #: EDU-018

To understand the current state of pediatric IR in Ethiopia, recognize the barriers limiting its establishment, and explore a context-specific roadmap for establishing a sustainable practice that ensures equitable access to minimally invasive care for children in the country.
Ethiopia is the second most populous country in Africa, and 39.1% of the population is between 0 and 14 years of age. Tikur Anbessa Specialized Hospital, Ethiopia’s largest teaching and referral hospital, serves approximately 500,000 patients annually, of whom 48% are children. In 2008, its radiology department partnered with the Children’s Hospital of Philadelphia to establish Ethiopia’s first pediatric radiology fellowship program, which has successfully trained subspecialists and integrated basic image-guided procedures. However, there is currently no established pediatric interventional radiology training program in the country. Read More

Authors:  Hailu Samuel Sisay , Noor Abass , Darge Kassa

Keywords:  Global Health, Interventional, Educational Intervention

Kerwin Clara,  Ahmed Umer,  Setty Bindu

Final Pr. ID: Poster #: EDU-022

Obesity is a multifactorial disease process that is increasing in prevalence worldwide, including among pediatric populations. It has been shown that childhood obesity persists into adulthood for a majority of individuals. Accordingly, the negative health effects of obesity, which involve virtually every organ system in the body, will compile and exacerbate as a child matures into adulthood.

Among radiologists, pediatric obesity is underreported due to a combination of social factors, nonstandardized reporting systems, and deferral to physical exam. However, pediatric radiologists have a responsibility to more directly acknowledge the childhood obesity epidemic and to work with other providers to ensure that pediatric patients are connected to the appropriate resources.

The objectives of this educational poster are:
1. To provide a comprehensive systems-based overview of the health effects that obesity has on children.
2. To suggest language for appropriate documentation of pediatric obesity in imaging reports.
3. To offer examples of interventions pediatric radiologists may take at their own institutions to help address pediatric obesity. Read More

Authors:  Kerwin Clara , Ahmed Umer , Setty Bindu

Keywords:  Obesity, Reporting, Educational Intervention

Mousa Abeer,  Simmons Curtis

Final Pr. ID: Poster #: SCI-012

The aim of this study was to examine trends in physicians in diagnostic and pediatric radiology with subset analysis of female representation within these specialties in the United States between 2017 and 2024. We sought to assess changes in the proportion of radiologists, identify growth or decline patterns, and analyze potential factors contributing to the observed trends. Read More

Authors:  Mousa Abeer , Simmons Curtis

Keywords:  Gender, Radiology Education, Educational Intervention