Search Tag: machine learning algorithms

2021 23 Sep

An automated detection method can help clinicians identify overlooked actionable findings in radiology reports and avoid costly delays to patient care. Therefore, one University of Tokyo research team recently assessed four methods for flagging “actionable” results from free-text in reports from their radiology department. Their analysis compared...Read more

2019 21 Nov

This year’s Scientific Assembly and Annual Meeting, the Radiological Society of North America (RSNA) will feature a newly expanded Artificial Intelligence (AI) Hub as the technology becomes increasingly embedded in imaging processes.   You might also like: RSNA 2019: Speakers and Topics   AI innovations from industry leaders, AI...Read more

2019 30 Jan

Needless to say, radiology plays a critical role in healthcare delivery. It is rare for a patient to pass through a hospital without requiring the opinion of a radiologist somewhere along their journey – be it in triaging patients in the ER , assessing the need for treatment, or evaluating the effectiveness of treatment.  Equally important is...Read more

2018 30 Jan

A new method that uses epigenetic signatures and machine learning algorithms provides a better way to diagnose neurodevelopmental disorders with much clinical overlap, according to a new study published in The American Journal of Human Genetics. The epigenetic signatures were developed through methylation array analysis by Greenwood Genetic Center...Read more

2017 11 Apr

Emerging technologies – such as machine learning and data analytics – will provide enormous opportunities for radiologists to augment and improve the quality of care they provide to their patients, according to a report to appear in Journal of the American College of Radiology. The report urges radiologists to maintain an active role in guiding the...Read more