• AI
  • Molecular Imaging
  • CT
  • X-Ray
  • Ultrasound
  • MRI
  • Facility Management
  • Mammography

Big Data Problem in Radiology

Video

[VIDEO] IT and radiology have to prepare for big data, together.

The problem with the hype about big data is that hype tends to overpromise, Paul Chang, MD, of the University of Chicago, said at RSNA 2016.

“Whenever there is some potentially disruptive or transformative change, we reinvent ourselves,” he said. The role of the radiologist before PACS is drastically different than their role today, Chang said. Notably, the change didn’t kill radiologists, it probably made them better.

The misunderstanding about big data, Chang said, is that it’s something new. But radiology has always had a big data problem.

Chang explains in the video whether radiology is ready for big data and how radiologists can prepare.

Recent Videos
Current and Emerging Legislative Priorities for Radiology in 2025
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, MD, Part 3
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, MD, Part 2
Current and Emerging Insights on AI in Breast Imaging: An Interview with Mark Traill, Part 1
Addressing Cybersecurity Issues in Radiology
Computed Tomography Study Shows Emergence of Silicosis in Engineered Stone Countertop Workers
Can an Emerging AI Software for DBT Help Reduce Disparities in Breast Cancer Screening?
Skeletal Muscle Loss and Dementia: What Emerging MRI Research Reveals
Magnetoencephalopathy Study Suggests Link Between Concussions and Slower Aperiodic Activity in Adolescent Football Players
Radiology Study Finds Increasing Rates of Non-Physician Practitioner Image Interpretation in Office Settings
Related Content
© 2025 MJH Life Sciences

All rights reserved.