Web Reminder: Ethical considerations for artificial intelligence in radiology and radiation oncology

Date: Monday Nov 28 2022 Times: NZ: 3pm (NZDT); NSW/VIC/TAS: 1pm (AEDT); QLD: 12md (AEST); SA: 12:30pm (ACDT); Darwin: 11:30am (ACST); WA: 10am (AWST) To join Zoom Meeting https://us02web.zoom.us/j/82558997430?pwd=ZjBDUncvOVlpZ0lKTm44NFF5TW5qZz09 Don’t miss yet another Better Healthcare Technology Foundation outstanding webinar topic that looks into future applied science in medicine. Presented by Read more…

Machine Learning and Optical Path Tracing for Automated Tasks

Deep learning models are used for various radiation oncology tasks to improve efficiency, increase accuracy and reduce errors. For example, these models may be used for: outlining organs at risk on CT or MRI image data; predicting patient-specific quality assurance results; developing novel dose calculation algorithms [1]; and Comparing proton Read more…

Clinical applications and basics of machine learning

It’s not an exaggeration to say that machine learning has taken the world by storm in the last ten years. Researchers are rapidly adopting machine learning in clinics for various medical applications, including diagnosis, prognosis and therapy. Machine learning (particularly deep learning) is well suited to automate many of the Read more…

AI: Unsupervised Learning

To learn a little bit more about tools of artificial intelligence, read this second article written by the 2019 Better Healthcare Technology most viewed author, Nicholas Hindley. Do it unsupervised!………..Read more..

Deep learning and the Era of Artificial Intelligence

The birth of Artificial Intelligence (AI) It was 1956. “My Fair Lady” had just hit Broadway, IBM was developing the first hard disk and Eurovision was about to hold its inaugural song contest. Things were humming along well in the wake of the war and the world was just catching Read more…