Speaker Profile
PMWC PIONEER AWARD
Pioneering developer of the dynamic transfer syntax (DTS) and a leader in advancing Stentor PACS, instrumental in transforming digital imaging in clinical practice and integrating AI and data science into radiology, advancing precision medicine
0, other, Professor & Vice-Chair of Radiology, U. of Chicago
Biography
Dr. Paul J. Chang is Professor and Vice-Chair of Radiology at the University of Chicago. He is an internationally recognized expert in the field of imaging informatics and drives the development of advanced enterprise imaging solutions that integrate imaging data into clinical and research workflows. A novel lossless wavelet-based image distribution mechanism, dynamic transfer syntax (DTS), was co-invented by Dr. Chang, and enabled the development of one of the worlds first viable enterprise image distribution solutions and was a significant contributor to the generalized adoption of Picture Archiving and Communication Systems (PACS) within healthcare. His leadership in developing Stentor PACS, later acquired by Philips, was instrumental in transitioning radiology from film to digital imaging, laying the groundwork for integrating AI and data science into radiology. His ongoing work in integrating artificial intelligence (AI) into radiology workflows is significant in advancing precision medicine, improving diagnostic accuracy, and enabling timely patient interventions.
Session Abstract – PMWC 2025 Silicon Valley
Track Co-Chairs:
Cherodeep Goswami, UW Health
- PMWC 2025 Award Ceremony
Pioneer Honoree: Paul J. Chang, University of Chicago - Keynote: AI in Radiology: A Reality Check (Climbing out of the Trough of Disillusionment)
- Paul J. Chang, University of Chicago
- AI in Radiology and Imaging Applications (PANEL)
Chair: Curtis P Langlotz, Stanford
- Paul J. Chang, University of Chicago
- Judy Gichoya, Emory University
- Sharmila Majumdar, UCSF
- Eliot Siegel, VA Maryland Healthcare System
- Katherine Andriole, Brigham and Women's Hospital - Overcoming Practice Gaps in Precision Medicine: Addressing Patient Leakage (PANEL)
Chair: Joe Zaccaria, KPMG
- Ed Kim, City of Hope
- Chris Scotto DiVetta, Tempus - Accelerating Risk Assessment and Diagnosis with AI
Chair: Pavan Anne, ZS - Shared Opportunities to Unlock AI's Potential in R&D (PANEL)
Chair: Brice Sarver, ZS
- Carlyn Crisostomo, Amgen
- Anne-Marie Martin, GSK
- Bill Mayo, BMS
- John Baldoni
- Practical Implications of Ethical Challenges in AI-driven Precision Medicine(PANEL)
Chair: Cherodeep Goswami, UW Health
- Tina Hernandez-Boussard, Stanford
- Lucia Savage, Omada Health
- Sean Hain, Epic
- Misha Mehta, Neev Kolte & Brave Ronil Foundation
