Search Tag: Radiology
Artificial hype
2019 22 Feb
Radiologists, more than any other medical specialty, feel the professional and emotional ‘whiplash’ that began five or so years ago. Vanishing jobs (transforming radiologists into production units) for cost over quality for our patients, to the current shortage and need for more radiologists. AI introduced the threat that automation would take what... Read more
Operationalising AI in radiology
2019 22 Feb
Implementation and integration challenges Over the last few years, we have seen a rapid rise in the popularity of Artificial Intelligence (AI). This will be a prime focus for attendees at this year’s European Congress of Radiology. As a member of the European Commission’s AI Alliance, I am optimistic and excited about the real-world application... Read more
Why embracing Artificial Intelligence is beneficial for all
2019 22 Feb
In many ways Artificial Intelligence (AI) may seem like a new concept in healthcare, mainly due in part to the recent traction the topic has made in the news in the last few years. It has even been falsely sensationalized, to further elevate buzz, as a tool that will one day replace clinicians altogether. The truth, though, is that companies like Hologic,... Read more
AI is the new reality: the 4th healthcare revolution in medicine
2019 22 Feb
AI: Hype? Rather, augmented intelligence is the fourth healthcare revolution in medicine and will lead to improved patient care. The future is bright, if we continue to develop creative solutions to improve patient care, in collaboration with deep learning algorithms, then we’ll again have succeeded in advancing medicine into a new healthcare... Read more
AI in medical imaging may make the biggest impact in healthcare
2019 22 Feb
An overview of recent advances showing the value of using AI in medical imaging. Soon every medical imaging machine will be connected to the cloud where AI algorithms will analyse data and help human doctors screen, assess, and diagnose patients. The potential impact of implementing AI to analyse medical images is huge. On the entire... Read more
Future of ultrasound: where are we going?
2019 22 Feb
CEUS for children, ultrasound simulation and gamification models for training and education, EFSUMB initiatives. Prof. Sidhu, EFSUMB president, talks to Healthmanagement.org about his ECR 2019 presentations: using ultrasound simulation models as tools for training and education, the greatest potential in combining ultrasound with contrast-enhanced... Read more
The AI-powered radiologist
2019 22 Feb
Imaging acquisition advances & big data envision a bright future for diagnostic imaging, which should continue to be led by the AI-powered radiologist. Technical advances in imaging acquisition and big data envision a bright future for diagnostic imaging. Radiologists working as data scientists can play a central role in precision medicine,... Read more
AI applications in breast imaging
2019 22 Feb
Review of some state-of-the-art applications of artificial intelligence on mammography and MRI. Computer aided imaging is not novel, having been around for 50 years. Developments have boosted the accuracy of computer-based analysis and breast imaging is at the forefront, as large databases are available, and radiologists tasks on images are... Read more
Critical analysis of MRI-based classification systems for sport muscle injuries
2019 22 Feb
Critical review A critical review of eight identified cases of muscle injuries in professional FCB players from the club’s annual muscle injury database in 2017. Abstract In cases of suspected muscle injury, sports medicine professionals use imaging methods such as ultrasound (US) and Magnetic Resonance Imaging (MRI) to confirm... Read more