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The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
4 Pillars to Building Radiology’s Better Future
December 01, 2020
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.
Patients Numb or Weak Post-COVID? Order an MRI or Ultrasound
December 01, 2020
Advanced imaging can help pinpoint the location and cause of lingering nerve damage in patients who have recovered from the virus.
Pre-Operative MRI Shows Benefit for Younger Women Diagnosed with Breast Cancer
December 01, 2020
Capturing the scan can reduce number of repeat surgeries and pinpoint additional cancers.
Breast Imaging AI: Catching Interval Cancers and Streamlining Screening
December 01, 2020
Implementing artificial intelligence tools with breast imaging can pinpoint overlooked interval cancers and decrease provider workload in screening mammography programs.
Stem Cells Improve ACL Recovery
December 01, 2020
MRI shows injections can both accelerate healing time and improve range of motion.
AI & Medical Imaging: The Ethical Issues, Pt. 1
November 30, 2020
What’s critical, and what radiologists can do.
With Forearm Fracture in Women, Suspect Domestic Violence
November 30, 2020
Radiologists have the opportunity to identify women suffering intimate partner violence by detecting a specific type of forearm fracture.
Running Interference
November 30, 2020
When support staff step in to control communications and keep the workday running smoothly.
Using AI Can Help Diagnose Tuberculosis on a Smartphone
November 30, 2020
Applying a deep-learning model to a photograph of a chest X-ray can help providers in resource-poor areas diagnose the disease.
Deep Learning Model Outperforms Traditional Breast Cancer Risk Assessment
November 30, 2020
A model that uses biomarkers pulled from a woman’s mammogram does produce a more accurate breast cancer risk assessment.