Search Tag: datasets

2019 10 Apr

A new initiative launched by the ACR Data Science Institute aims to empower radiologists to develop artificial intelligence ( AI ) algorithms at their own institutions, with the use of their own patient data, t o meet their own clinical needs . The institute's ACR AI-LAB™ is a data science toolkit designed to help radiologists l earn...Read more

2019 26 Mar

Automating symptoms recording clerical aspects of medical record keeping through speech recognition during a patient’s visit 1   could allow physicians to dedicate more time directly with patients, according to a new report published in JAMA Intern Med . Researchers considered the feasibility of using machine learning  to automatically populate...Read more

2019 28 Feb

Noninvasive MRI digital physical exam provides a Whole Body approach for personalised health. The scarcity of radiologic expertise and resources (hardware, personnel, quality, and other radiology services) impacts up to 4.7 billion people worldwide. Unfortunately, two-thirds of the world's population has no access to basic radiologic...Read more

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

2019 08 Jan

In a new study, a team of researchers from the Massachusetts General Hospital (MGH) Department of Radiology  created an artificial intelligence (AI) powered system that successfully detects acute intracranial haemorrhage (ICH) and also categorises five ICH subtypes from unenhanced head computed-tomography scans (CT).  In the report published online...Read more

2018 04 Dec

In what is the largest public release of raw data to this day, the NYU School of Medicine’s Department of Radiology and Facebook join forces on a collaborative research project that will share open source tools to propel the development of AI systems that may produce 10 times faster MRI scans. More than 1.5 million anonymised MR images of the knee,...Read more