profound ai
Artificial intelligence helping detect early signs of breast cancer in some US hospitals
Doctors believe Artificial Intelligence is now saving lives after a major advancement in breast cancer screenings. In some cases, AI is detecting early signs of the disease years before doctors would find the cancer on a traditional scan. Boca Raton, FL – Some doctors believe artificial intelligence is saving lives after a major advancement in breast cancer screenings. In some cases, AI is detecting early signs of the disease years before the tumor would be visible on a traditional scan. The Christine E. Lynn Women's Health and Wellness Institute at the Boca Raton Regional Hospital found a 23% increase in cancer cases since implementing AI during breast cancer screenings.
Artificial Intelligence
Artificial Intelligence or simply AI is the science of designing intelligent computer programs or machines. AI will change the world as we know it by making everyday tasks easier and more efficient. AI is already created by major developers like IBM but has not nearly reached its full potential. Regardless of the benefits of AI there are many concerns with what the creation of AI can lead to, some as drastic as humanity creating their own uncontrollable superiors to even a third World War. Artificial Intelligence has been an enduring concept since the fifties when Arthur Samuel created the first computer program that taught itself how to play checkers in 1952.
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New AI-driven technology for breast cancer screening
This included the technology ProFound AI for Digital Breast Tomosynthesis (DBT), which is said to be the first artificial intelligence software for DBT to be approved by the U.S. Food and Drug Administration (FDA). Also on offer at the event were medical software solutions designed for 2D mammography and to assess breast density. During the meeting, the iCAD unveiled its vision for future technologies. This predictive aspect included technologies that should enable clinicians to more easily interpret patients' earlier images and prospective breast cancer risk assessment to form a clearer picture of the specific patient's condition. Clinical data from a large reader study involving ProFound AI for DBT were recently published in the journal Radiology: Artificial Intelligence ("Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis").
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What Radiologists Need to Know About AI
Much has been made in recent years about the explosion of artificial intelligence (AI) in radiology and how it might impact the role of radiologists themselves. But artificial intelligence is, by definition, artificial. In an itnTV video from the 2018 Radiological Society of North America (RSNA) annual meeting, ITN Contributing Editor Greg Freiherr explored how AI cannot take the place of people, but it can help people get what they need. You can view the video at https://bit.ly/2FMgDvH. "I doubt any radiologist could build an MR or a CT scanner from scratch. They probably couldn't even build it from pieces," said Bradley J. Erickson, M.D., Ph.D., chair, radiology informatics/associate chair, research-radiology at the Mayo Clinic in Rochester, Minn., in the itnTV video.
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