- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Radiologists Utilize Image-Based Global Networking Tool
Image-based global networking tool connects physicians from all over the world.
Figure 1 is an online global network in which healthcare practitioners, including radiologists, can share medical cases and receive feedback in real time. Using the smartphone app or web browser version, practitioners upload an image, write a caption and tag it with a category. Healthcare providers often post images of unusual cases they need help identifying or classic presentations of a disease. After the image is reviewed by Figure 1’s moderator team, the image and caption are available for questions, comments and feedback from the medical community around the world.
Read more about Figure 1 on our partner site, radRounds.
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Leading Breast Radiologists Discuss the USPSTF Breast Cancer Screening Recommendations
May 17th 2024In recognition of National Women’s Health Month, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.
