Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."
Evan Shlofmitz, DO, director of intravascular imaging at St. Francis Hospital, explains how advanced artificial intelligence technology is used to assess a patient's CT scan before they undergo PCI.
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.
Raquel Roman, chair of the Radiology Business Management Association (RBMA) Young Professionals Committee, and director of growth at Essential Radiology, explains how the group mentors the next generation leaders.
Rads should learn more about employment negotiations before signing a contract, says Seetharam Chadalavada, MD, vice chair of radiology informatics at the University of Cincinnati.
Peripheral artery disease (PAD) leads to more than 400 leg amputations per day in the U.S. Kumar Madassery, MD, discussed the importance of increasing awareness and reaching patients before it is too late.
Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."
Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.
The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.
