There's a perfectly good reason for taking even more selfies now. Doctors may be able to detect the presence of any potential health disease at an earlier stage by looking at your picture
A study published on August 21 in the European Heart Journal has presented an innovative method for the widespread detection of heart disease. It suggests that people should provide their doctors with selfies that can be analysed by deep learning machines configured to predict the presence and the particular stage of the disease. This is an apt example of the growing importance of artificial intelligence (AI) in medicine.
Here is a list of just some of the applications that have been in the news recently.
Early detection of Alzheimer's
Deep learning can play a major role in the early detection of Alzheimer's. Scans that measure the level of glucose in the brain can be used to diagnose this neurodegenerative disease, but the interpretation of these images is far from easy when Alzheimer's is in its initial stages. At the same time, early detection is crucially important if treatment is to be effective before the disease has gone too far. Conducted by researchers at the University of San Francisco, a pioneering 2018 study developed an AI algorithm that succeeded in detecting Alzheimer's in scan images some six years before it would have otherwise been diagnosed.