- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Unconscious Bias: Handling What You Don’t Know You Have
Jorge Soto, M.D., and Maureen Kohi, M.D., discuss how unconscious bias presents in radiology and the tools that providers can use to recognize and minimize the biases when they appear.
Radiology is not unlike any other medical specialty – biases exist even in the face of the strongest efforts to eliminate them. And, some of the most difficult to handle are the ones providers do not even know they have – the unconscious biases that largely go unrecognized.
But, the industry is beginning to talk about this issue more and more, educating radiology professionals about how unconscious biases appear and how they can best combat it. During this year’s Radiological Society of North America (RSNA) annual meeting, Jorge Soto, M.D., chief of radiology for Boston Medical Center, and Maureen Kohi, M.D., associate professor of clinical radiology at the University of California at San Francisco, led a session focusing on these biases that fly under the radar.
Diagnostic Imaging spoke with them about the importance of shining a light on this problem and what radiology can do.
For additional RSNA coverage, click here.
Shaping the Future of Radiology in 2025: Trends, Threats, and Opportunities
January 10th 2025How do we respond to challenges with staff recruitment, cybersecurity, and looming hospital takeovers in radiology? This author assesses key trends in radiology and offers key insights to stay competitive in the field.
The Reading Room Podcast: Emerging Trends in the Radiology Workforce
February 11th 2022Richard Duszak, MD, and Mina Makary, MD, discuss a number of issues, ranging from demographic trends and NPRPs to physician burnout and medical student recruitment, that figure to impact the radiology workforce now and in the near future.
Can MRI-Based AI Bolster Biopsy Decision-Making in PI-RADS 3 Cases?
December 9th 2024In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
