Clinical Workflows, Auditing & Analytics | AI Builder Showcase - Society for Imaging Informatics in Medicine

Clinical Workflows, Auditing & Analytics | AI Builder Showcase

Beyond Deployment: An In-House System for Continuous Quality Assurance of Deployed Auto-Segmentation Models (opens in new tab)

Jonathan Cheng, University of Pennsylvania
Nicholas Molina; Kelechi Obike

Closing the Loop: A Standardized End-to-End Digital Workflow for Reconciling ED Wet Read Discrepancies Across a Large Integrated Healthcare Network(opens in new tab)

Austin Young, MD, Northwell Health
Ritesh Patel, MD; Ariba Islam; Arianna Sarjoo; Christopher Teng; Daniel Nicosia; Brandon Noblett; James Thannickal; David Hirschorn, MD; Shlomit Goldberg-Stein, MD; Matthew Barish, MD

Closing the Radiology Reporting Loop with Open Source: A Contract-First Multi-Agent System from Worklist Triage to Critical-Results Communication (opens in new tab)

Lalitha Pranathi Pulavarthy, Indiana University Indianapolis
Parvati Naliyatthaliyazchayil, MS; Chaitra Sree Sammeta, MS; Viraj Gadeela; Judy Wawira Gichoya, MD, MS, FSIIM; Saptarshi Purkayastha, PhD

ITK-SNAP as an Agent-Callable Tool: Expert Human Correction as a Resumable, Audited Pipeline Step (opens in new tab)

Jilei Hao, MS, University of Pennsylvania
Alison M. Pouch, PhD; Paul A. Yushkevich, PhD

RVU Insight: An Integrated Scheduling and Productivity Analysis Platform for an Academic Neuroradiology Section(opens in new tab)

David Fussell, MD, University of California Irvine
Jennifer Soun, MD; Peter Chang, MD

VERITAS — Auditing the Ground Truth, Not Just the Model (opens in new tab)

Akash Stephen, Dr. Somervell Memorial CSI Medical College & Hospital

Learning Objectives

Upon completion of the AI Builder Showcase sessions, participants will be able to:

Describe practical applications of AI and informatics tools designed to address clinical, operational, quality, and educational challenges in medical imaging.

Evaluate approaches for integrating AI-enabled solutions into real-world imaging workflows, including considerations for usability, interoperability, monitoring, and human oversight.

Identify opportunities to adapt or apply demonstrated AI and informatics solutions to improve workflow efficiency, quality, education, and patient care within their own practice settings.