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Nearly 100% of cancer identified by new AI, easily outperforming doctors | In what's expected to soon be commonplace, AI is being harnessed to pick up signs of cancer more accurately than the trained human eye.
In what's expected to soon be commonplace, artificial intelligence is being harnessed to pick up signs of cancer more accurately than the trained human eye. This latest AI model has a near 100% success rate and serves as a clear sign of things to come.
An international team of scientists including those from Australia's Charles Darwin University (CDU) has developed a novel AI model known as ECgMPL, which can assess microscopic images of cells and tissue to identify endometrial cancer – one of the most common forms of reproductive tumors – with an impressive 99.26% accuracy. “Optimized through ablation studies, self-attention mechanisms, and efficient training, ECgMLP generalizes well across multiple histopathology datasets thereby making it a robust and clinically applicable solution for endometrial cancer diagnosis.” “The same methodology can be applied for fast and accurate early detection and diagnosis of other diseases which ultimately leads to better patient outcomes,” said co-author Niusha Shafiabady, an associate professor at ACU.
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