Automation and AI (Artificial Intelligence) in Radiology by Anne-Laure Jet

João Bocas - The Wearables Expert ™ Interviews Anne-Laure Jet, European Product Manager Ultrasound at FUJIFILM Healthcare The Topic is: Automation and #AI (#artificialintelligence) in #radiology We've discussed and touched upon the following: - We talked about trends in Radiology - What are the patient benefits when using automatic measurement tools? - The impact of Radiology, in particular, Sonography? How can we make #Healthcare Uncomplicated? Share this episode with your networks: https://youtu.be/AAgbgYVVcsU Connect with Anne-Laure Jet: LinkedIn - https://www.linkedin.com/in/anne-laure-jet-b2122a181/ Twitter - https://twitter.com/FUJIFILM_HCEMEA Website - https://bit.ly/Fujifilm_HCE Feel free to 📣 CONNECT WITH ME 🟢: LinkedIn: https://www.linkedin.com/in/joaobocas/ Twitter: https://twitter.com/WearablesExpert If you have not subscribed, do it now - https://bit.ly/3iQ6EXP The medical field is facing many challenges with regard to the use of automation and AI in #medicine. The question we are asking today is: "How can we implement AI into radiology?" What is AI? AI stands for: "Artificial Intelligence". This is a type of computer system that can learn, understand, solve problems and make decisions without being programmed by people. Why should we use it? Automation and AI can be used in radiology because they are helpful when it comes to handling large amounts of data, making decisions based on the data, and making recommendations based on the data. They can also help us detect patterns in images more quickly than humans ever could The use of automation and AI in radiology is on the rise. Automated detection of abnormalities has been used for several years to identify lesions on chest X-rays, but it is now being applied to other imaging modalities as well. Automated detection of abnormalities has been shown to reduce interpretation time, improve confidence in decisions made by radiologists, and reduce errors compared with manual interpretation of images. Automation can be used in conjunction with human radiologists or independently. Radiology is a field that has been ripe for automation for years. It's a highly detailed, intricate practice that requires manual skill and specialized knowledge. And it's also one of the most important medical fields in which to be accurate—radiology is the only way to diagnose certain cancers and other diseases, so mistakes can be devastating. But now, the technology is finally here to make this happen. AI (Artificial Intelligence) can be used to help analyze images of the body, identifying abnormalities and helping #doctors make better diagnoses than they would have been able to make before. #radiologist #ehealth #digitalhealth #mhealth #telehealth #telemedicine #fujifilm