Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.
CT calcium scoring provides valuable evaluations of intermediate-risk patients in addition to making good business sense for hospitals. Nauman Mushtaq, MD, an interventional cardiologist with Northwestern, shared his own experience with this technology.
JoAnn Pushkin, breast cancer survivor and executive director of DenseBreast-info.org, sounded the alarm on the lack of awareness surrounding breast density and its associated cancer risks during a presentation at this year’s annual RSNA meeting.
When lung cancer is caught in its early stages, long-term survival rates can reach 80% and higher, according to a new large-scale, 20-year international study presented at this year's RSNA meeting.
A new partnership between Sirona Medical and RevealDX could streamline the process of AI integration into the clinical practice of lung nodule assessments.
The Israeli vendor Nanox says it has a vision for the future of healthcare. It seeks to address health disparities and access challenges with a new business model and innovative package of technologies. Hurdles loom, but opportunities abound.
Personalized breast cancer screening programs could help women better understand their personal cancer risks and guide providers in recommending mammographic assessments based on these risks.
Brian Lindman, MD, medical director of the Structural Heart and Valve Center, Vanderbilt University Medical Center, explains the new American Heart Association (AHA) Target Aortic Stenosis (AS) program to screen with echo to find more AS patients.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.