Soto Gloria, Nievelstein Rutger, Boechat Ines, Pool Kara-lee, Dehaye Amanda, Ducou Le Pointe Hubert, Halliday Kath, Lam Wendy, Lopez Pino Miguel, Mentzel Hans-joachim, Mwango Gladys
Final Pr. ID: Poster #: EDU-065
Five years ago the leaders of the world’s regional pediatric imaging societies launched the World Federation of Pediatric Imaging (WFPI), a pediatric imaging body with global overview. According to its mission statement "WFPI provides an international platform for pediatric radiology organizations united to address the challenges in global pediatric imaging training and the delivery of services".
To guide WFPI's outreach endeavors as well as of other organizations interested in improving pediatric radiology services worldwide a project to better define the needs and gaps of pediatric radiologists and training centers worldwide was undertaken.
The project aims to:
-Establish the number of Pediatric Radiologists (as regionally defined) per country/region around the world
-Outline the training pediatric radiologists receive and availability of training centers
-Highlight major disparities and gaps in availability of pediatric radiologists and pediatric imaging training
-Based on this information create a roadmap for WFPI’s global efforts.
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Authors: Soto Gloria , Nievelstein Rutger , Boechat Ines , Pool Kara-lee , Dehaye Amanda , Ducou Le Pointe Hubert , Halliday Kath , Lam Wendy , Lopez Pino Miguel , Mentzel Hans-joachim , Mwango Gladys
Gokli Ami, Shekdar Karuna, Reid Janet
Final Pr. ID: Paper #: 174
Both neuroradiologists and pediatric radiologists require unique skills to confidently manage pediatric neuroradiology cases either in a community setting, or in a specialized pediatric tertiary care hospital. We conducted a needs assessment of pediatric radiologists to define their neuroradiology subspecialty training experience and identify perceived skills and knowledge gaps as well as their attitudes toward a customized pediatric neuroradiology curriculum. Read More
Authors: Gokli Ami , Shekdar Karuna , Reid Janet
Keywords: Needs assessment, pediatric neuroradiology, training
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.
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Authors: Gauguet Jean-marc , Tyrrell Cornelius , Macnow Theodore , Pandya Aniket
Keywords: Education, Educational Intervention, Resident Training
Gorelik Natalia, Khumalo Zonah, Saint-martin Christine, Bure Lionel, Faingold Ricardo
Final Pr. ID: Poster #: SCI-066
Our study aims to test for validity a recently developed scoring system for the assessment of resident proficiency at performing a head ultrasound (HUS) examination in infants. Read More
Authors: Gorelik Natalia , Khumalo Zonah , Saint-martin Christine , Bure Lionel , Faingold Ricardo
Keywords: Neurosonography, Training, Evaluation
Alford Raphael, Jain Shreyan, Cheng Joseph, Zhang Tao, Vasanawala Shreyas
Final Pr. ID: Poster #: SCI-080
The purpose of this study is to develop a method of training pediatric patients in effective breathing during magnetic resonance imaging (MRI). Read More
Authors: Alford Raphael , Jain Shreyan , Cheng Joseph , Zhang Tao , Vasanawala Shreyas
Keywords: Biofeedback, Non-sedated MRI, Respiratory Training
Lopez-rippe Julian, Ramanjana Reddy Manasa, Hamel Eva, Reid Janet, States Lisa
Final Pr. ID: Poster #: SCI-014
Hybrid PET-MR is increasingly used in pediatric oncologic and metabolic imaging, yet structured educational resources remain scarce, creating a significant gap in PET-MR competency development. We designed an online case-based platform combining foundational modules (principles, radiopharmaceuticals, protocols, normal variants) with interactive case libraries featuring radiologist-verified findings and teaching points. This study evaluates its feasibility, preliminary learning outcomes, and user perceptions during pediatric nuclear medicine rotations. Read More
Authors: Lopez-rippe Julian , Ramanjana Reddy Manasa , Hamel Eva , Reid Janet , States Lisa