Morales-tisnés Tatiana,  Miranda Schaeubinger Monica,  Yaya Carlos,  Milla Sarah,  Heller Richard,  Otero Hansel

Final Pr. ID: Poster #: EDU-025

Access to healthcare, and in particular to pediatric subspecialties, including pediatric radiology, is limited. Increasingly limited access creates or accentuates preexisting disparities and injustices. However, because of the complexity of the issue, it is difficult to objectively study and quantify it. This exhibit will describe current barriers to pediatric radiology access, available research tools and methodologies that can help us measure the impact of such barriers. Then, we propose a research agenda to systematically approach the problem. Read More

Authors:  Morales-tisnés Tatiana , Miranda Schaeubinger Monica , Yaya Carlos , Milla Sarah , Heller Richard , Otero Hansel

Keywords:  Pediatric radiology, Access to healthcare, Research agenda

Shelmerdine Susan,  Lacroix Caroline,  Chavhan Govind,  Doria Andrea

Final Pr. ID: Poster #: SCI-044

1) Determine differences in characteristics of studies published within high impact radiology and medical journals journals in comparison to a Pediatric Radiology journal.

2) Outline factors that may have contributed to differences in quality of design of studies and components that could be incorporated into the design of future pediatric radiology research studies in order to improve their quality. Read More

Authors:  Shelmerdine Susan , Lacroix Caroline , Chavhan Govind , Doria Andrea

Keywords:  Research, Publication, Study Design, Pediatric Radiology journal

Rafful Patricia,  Alkhulaifat Dana,  Lopez Rippe Julian,  Khalkhali Vahid,  Welsh Michael,  Venkatakrishna Shyam Sunder,  Wieczkowski Sydney,  Reid Janet,  Sotardi Susan

Final Pr. ID: Poster #: EDU-044

Artificial intelligence (AI) has the potential to improve many aspects of pediatric radiology. AI solutions have emerged to perform a wide range of tasks, including facilitating the workload of radiologists, improving image quality, performing motion correction, and reducing contrast dose. While a myriad of courses for learning AI are available, most resources lack the necessary radiology perspective required for clinical application. Few interactive resources are available to teach a systematic approach for pediatric radiologists when analyzing AI literature. Since AI methodologies in pediatric radiology research fundamentally differ from classical statistical analyses, an educational poster dedicated to interpreting pediatric radiology AI literature would assist in bridging this gap.

The purpose of this education exhibit is to provide a resource for pediatric radiologists that teaches a systematic approach for the interpretation of AI research publications. Knowledge delivery will be made by eLearning slide-based presentation. The major topics regarding AI literature will focus on: problem identification; data curation; data annotation, artificial intelligence models; validation and performance. Next, we review prior literature on important criteria for AI publications, including Checklist for Artificial Intelligence in Medical Imaging (CLAIM), the AI version of the Standards for Reporting of Diagnostic Accuracy Studies (STARD-AI), Transparent Report of Multivariable Prediction Model of Individual Prognosis and Diagnosis for AI (TRIPOD-AI) and Prediction Model Risk of Bias Assessment Tool for AI (PROBAST-AI). Lastly, we present these criteria in the context of pediatric AI research applications.
AI research methodology in pediatric radiology differs from classical research methodologies. Therefore, this education exhibit is intended to teach the systematic interpretation of the primary AI literature to pediatric radiologists in order to translate scientific knowledge into meaningful clinical information. Read More

Authors:  Rafful Patricia , Alkhulaifat Dana , Lopez Rippe Julian , Khalkhali Vahid , Welsh Michael , Venkatakrishna Shyam Sunder , Wieczkowski Sydney , Reid Janet , Sotardi Susan

Keywords:  Artificial Intelligence, Radiology, Research

De Leon-benedetti Laura,  Andronikou Savvas,  Serai Suraj,  Hailu Tigist,  Miranda Schaeubinger Monica,  Jalloul Mohammad,  Otero Hansel

Final Pr. ID: Poster #: SCI-017

To describe imaging requisition patterns for prospective pediatric research studies at a large academic children’s hospital as insight into the role of radiology services in the current research environment. Read More

Authors:  De Leon-benedetti Laura , Andronikou Savvas , Serai Suraj , Hailu Tigist , Miranda Schaeubinger Monica , Jalloul Mohammad , Otero Hansel

Keywords:  Ethics Committees, Research, Radiology, Medical Imaging

Lacroix Caroline,  Shelmerdine Susan,  Chavhan Govind

Final Pr. ID: Poster #: SCI-043

To determine the characteristics and trends of original research articles published in Pediatric Radiology over the last 10 years. Read More

Authors:  Lacroix Caroline , Shelmerdine Susan , Chavhan Govind

Keywords:  Research, Pediatric Radiology, Publications, Trends, Original Articles