AI Ecosystems in Imaging Scientific Research Abstracts

Data Hygiene at Scale: A Contrastive Learning Framework for Auditing Data Provenance and Overlap

Aditya Kulkarni, MS, Research Engineer, St. Jude Children’s Research Hospital
Khushang Zaveri; Dharmam Savani, MSc; Ammar Ahmed Pallikonda Latheef, MSc; Pritam Mukherjee, PhD; Jeremias Sulam, PhD; Paul Yi, MD

Lost in Translation: International Limitations of Deep Learning Demographic Classifiers Developed on US Imaging Datasets

Preetham Bachina, MSE, Medical Student, Dual-Affiliate, Johns Hopkins University School of Medicine, St. Jude Children’s Research Hospital
Sean Garin; Pranav Kulkarni; Aditya Kulkarni, MS; Adway Kanhere, MSE; Vishwa Parekh, PhD; Jeremias Sulam, PhD; Paul Yi, MD

NeuroAIHub: An AI-Driven Framework for Automated Curation and Discovery of Neuroradiology Datasets

Mana Moassefi, MD, Postdoctoral Research Fellow, Mayo Clinic
Oluwatobi Iyanuoluwa Akinmuleya, MD; Evan Calabrese, MD, PhD; Danial Elyassirad; Sina Goodarzi; Mahsa Heidari-Foroozan; Rajan Jain, MD; Jeffrey Rudie, MD, PhD; Mohammad Aref Bagherzadeh, MD; San Shokrani, MD; Mahsa Vatanparast; Sina Moradi; Benyamin Gheiji

NucLex: An Ontology for Standardized Terminology in Nuclear Medicine, Theranostics, and Radiopharmaceutical Therapy

Tyler Bradshaw, MD, Associate Professor, University of Wisconsin – Madison
Julia Brosch-Lenz, PhD; Carlos Uribe, PhD; Neeta Pandit-Taskbar, MD; Reinier Hernandez, PhD; Nicolas Karakatsanis, PhD; Jazmin Schwartz, PhD; Arman Rahmim, PhD; Eliot Siegel, MD, FSIIM; Babak Saboury, MD

SIIM Survey of Radiologists Views on AI Adoption – Barriers, Impact and Futures

Mitchell Goldburgh, FSIIM, Director, NTT DATA
Michael LaChance