Search Tag: machine learning
Machine learning 'red dot' model for flagging abnormal radiographs
2018 14 Aug
UK researchers have demonstrated the application of a machine learning-based "red dot" model to classify chest radiographs as normal or abnormal, with 94.6% accuracy. Its application to real-world datasets may be warranted in optimising clinician workload in the face of expanding demand, according to the researchers. Their work is published in... Read more
Machine learning algorithm 'more accurate' in predicting ICU readmission
2018 06 Jun
New research shows that a machine learning approach to predicting ICU readmission was significantly more accurate than previously published algorithms or prediction tools. Implementation of this approach could target patients who may benefit from additional time in the ICU or more frequent monitoring after transfer to the hospital ward, according... Read more
eHealth – transforming healthcare in disruptive times
2018 23 May
Where is eHealth in Ireland heading and where could it lead us? Examining the state of eHealth, its challenges and opportunities at the European Association of Hospital Managers congress in Dublin. With digital innovations dramatically transforming every layer of the healthcare landscape, intensive discussions are required to manage... Read more
Does radiology have a bright future?
2018 23 May
Do AI and machine learning herald the end of radiology? I could answer in one word: Yes. But HealthManagement has given me 700 and I’m delighted to have the opportunity to expand my hypothesis. I might as well start with the “elephant in the room”. How many radiologists cringed when they read President Obama’s assertion that “radiologists... Read more
Machine learning predicts which patients benefit from prostate mpMRI
2018 02 Apr
Multiparametric MRI (mpMRI) is a novel imaging tool that is increasingly used for prostate cancer detection. Key obstacles to routine use of prostate MRI include quality control, cost and access. To optimise resource utilisation and reduce unnecessary costs, a new machine learning model has been developed for identifying which patients could benefit... Read more
Supervised machine learning predicts CLABSI
2018 06 Mar
Machine learning has proven to be useful for developing prediction models for outcomes in intensive care unit patients. A new study comparing machine learning techniques for predicting central line-associated bloodstream infection (CLABSI) shows supervised artificial intelligence can accurately predict CLABSI in patients admitted to the ICU. Early... Read more
Machine learning tools for predicting clinical outcomes
2018 06 Mar
New research findings suggest that machine learning may usher in a new era in digital healthcare tools that are able to predict clinical outcomes in patients with known or potential heart problems. These findings are from several studies being presented at the American College of Cardiology's 67th Annual Scientific Session. The new studies presented... Read more
Faster diagnosis of eye diseases with AI, machine learning
2018 22 Feb
A new computational tool that uses artificial intelligence (AI) and machine learning (ML) can be used to screen patients with common retinal diseases such as macular degeneration and diabetic macular oedema. The researchers, from Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in... Read more