Understanding Big Data
Machine Learing Working for Healthcare
Of all the impressive advances in Artificial Intelligence (AI), much of the recent success in AI is built on machine learning. A flood of new methods in this area and the velocity of their progress has surprised even many AI practitioners.
In medicine and health, the use of data and algorithms is hardly new; what is new is the vast potential of these recent developments. While we cannot expect a robot take-over any time soon, machine learning will accelerate research and practice exponentially, such as inspecting and classifying medical images with high accuracy, analysing clinical measurements and detecting anomalies, and better predicting hospital lengths-of-stay.
Advanced algorithms and data are the main ingredients to modern machine learning; and understanding these principles is key to harnessing the full potential of machine learning. As a clinician working in an area ripe for the application of machine learning, Western Sydney University invites you to attend workshop with machine learning experts to explore how machine learning can be applied in your clinical context.
For more information, please contact James Kemp.
For more information please contact J.firstname.lastname@example.org