weekly blog--one for the ages
This seemed to be the week where Artificial Intelligence came to the forefront in the health Care industry’s quest to help better diagnose and treat patients. The Wall Street Journal reported that a Duke University doctor working with Microsoft researchers sifted through data on the physical movements of computer users that came from millions of internet searches. Their study found links between some behaviors—such as tremors when using a mouse, repeat queries and average scrolling velocity—and Parkinson’s disease. Doctors say what they call digital biomarkers could also be especially useful diagnosing other brain disorders like Alzheimer’s.
Researchers have also shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin cancer. In a study published in the leading cancer journal Annals of Oncology researchers in Germany, the US and France trained a CNN to identify skin cancer by showing it more than 100,000 images of malignant melanomas (the most lethal form of skin cancer), as well as benign moles (or nevi). They compared its performance with that of 58 international dermatologists and found that the CNN missed fewer melanomas and misdiagnosed benign moles less often as malignant than the group of dermatologists.