Last year, Cisco collaborated with Ironbound Films and Cyrcadia Health to create Detected, a documentary about how the Internet of Things is changing breast cancer detection. June 3rd is National Cancer Survivor's Day, a time to take a look at how some new technologies are also helping in the path to finding and diagnosing disease.
The Annals of Oncology recently published a study showing that artificial intelligence could be better at detecting skin cancer than dermatologists. This AI machine known as the deep learning convolutional neural network is based on biological processes that get smarter and better with training. Shown hundreds of thousands of images of skin cancers, the neural network works toward identifying the diagnoses of the images. In a comparison to diagnoses from dermatologists, the neural network accurately detected 95 percent of melanomas, where the dermatologists accurately found 86.6 percent.
Many believe this artificial intelligence can act as an additional aid to dermatologists—images of lesions can be evaluated by the technology to gain an extra opinion on a patient's skin.
In a blog by Irma Rastegayeva, the consultant and entrepreneur writes that the technology showcased in the documentary Detected is also a breakthrough innovation. A product created by Cyrcadia Health, the ITBra is a non-invasive wearable device that individuals can place over their breasts. Sensors on the device can detect circadian temperature changes within breast tissue that can show the difference between normal and abnormal breast cellular patterns. This can serve as an early detector of disease.
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