Search Tag: radiology report
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 14 Aug
A recent study tested the ability of an artificial intelligence (AI) system to triage adult chest radiographs in real-time. Based on deep convolutional neural networks (CNN), the system was able to prioritise radiographs based on the urgency for follow-up treatment, with the aim of improving radiologists’ workflow. 470,388 anonymous adult chest...Read more
2019 30 Jul
Researchers from the Dana-Farber Cancer Institute have developed an artificial intelligence (AI) tool which is just as effective as their human counterparts in gathering information on cancer progression from unstructured radiology reports. The study published in JAMA Oncology showed how AI could not only distinguish cancer presence and the outcomes...Read more
2018 10 Oct
An article in the journal Current Problems in Diagnostic Radiology describes the successful implementation of a system where measurements acquired on any ultrasound unit are automatically transmitted into the final radiology report generated in the reporting software. The measurement auto-filling system was implemented by the radiology department...Read more