AI-based surgical prediction models have limits

Prediction models generated by machine learning are being increasingly used in medicine to identify risk factors and possible outcomes, especially for total joint replacements of knees and hips—although researchers warn that machine-generated predictions are currently being drawn from a limited data pool. “Machine learning has great potential for processing ‘big data’ and has proved its undeniable capability, although it is not free of issues,” warns Dr. Reza Hashemi from Flinders University’s College of Science and Engineering. “The accuracy of predictive models is dependent on the quality of the data sources, Read More