AI cancer detection reaches unprecedented levels of 99% accuracy

A new breakthrough artificial intelligence-powered detection models has caught one of the most challenging cancers to catch, Endometrial cancer, with reports now stating accuracy with the mode has reached up to 99% in its detection rate.

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The new AI model named ECgMLP processes visual data, and according to reports, it set a new precedent for AI cancer detection as it is capable of taking the data given to it by doctors, filter out any unnecessary noise, and highlight areas within the data that it deems as a potential risk for cancer. In the case of the data being given to the AI, it would be scans of areas of the human body, and having an AI be able to thoroughly go over multiple scans quickly and accurately will considerably speed up the rate of cancer detection and its accuracy.

For example, ECgMLP was able to detect Endometrial cancer, also known as uterine cancer, which is particularly hard to detect early as most of its symptoms can be subtle or mimic other conditions. The model uses digital pattern recognition techniques to evaluate areas of tissue and then provide a diagnostic prediction. Reports indicate most other automated systems for detecting endometrial cancer have about 80% accuracy, but ECgMLP beats those systems by approximately 20%, making it one of the most accurate AI cancer detection models created so far.

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Examples of its work include correctly identifying colorectal cancer with 98.57% accuracy, breast cancer at 98.2% accuracy, and oral cancer at 97.34% accuracy. It will still be quite some time before ECgMLP or anything equivalent is rolled out in hospitals, but results such as these mark a significant step toward AI model's value to the health industry.