- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
4 Pillars to Building Radiology’s Better Future
Bright years are ahead for the industry, according to industry expert Bhavya Rehani, M.D., if focus is given to selfless service, education, technology and innovation, and engaging the global community.
Building a better future for radiology goes beyond creating the best modality equipment, and it pushes the industry to stretch its capabilities across the globe.
For Bhavya Rehani, M.D., assistant professor of radiology at the University of California, San Francisco and co-founder and chief executive officer and president of non-profit organization Health4theWorld, creating that augmented future requires work and collaboration in four pillars: selfless service, education, technology and innovation, and engaging the global community.
In the Annual Oration on Diagnostic Radiology on Nov. 30 during the Radiological Society of North America (RSNA) annual meeting, Rehani discussed the specifics about the challenges that exist to realizing this future and the ways radiologists can conquer those obstacles in the short-term.
Diagnostic Imaging spoke with her about how radiology can bring this better future to fruition.
For more 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.
