Computers learning to find Australian cancers and broken bones that people miss

A deal signed today means a ‘deep learning system’ will soon help Australian radiologists to find cancers and breaks that are often missed, and to ignore lumps that don’t matter. Then it will bring modern medical diagnostics to developing countries where radiologists are in short supply. In a global first, Melbourne-headquartered radiology business Capitol Health announced this morning that it will implement the machine-learning system developed by Silicon Valley start-up Enlitic. Founded by Melbourne serial entrepreneur Jeremy Howard, Enlitic has created computer learning systems that can take millions of scans, tests and medical records and learn from them to help doctors rapidly diagnose problems. “This is the beginning of a transformation of global health services,” says Jeremy. Radiologists view hundreds of X-rays and other medical images every week looking for…


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