How AI And Deep Learning Are Now Used To Diagnose Cancer
Without a doubt one of the most exciting potential uses for AI (Artificial Intelligence) and in particular deep learning is in healthcare. Traditionally, diagnosis of killer illnesses such as cancer and heart disease have relied on examinations of x-rays and scans to spot early warning signs of developing problems.
See How Artificial Intelligence Can Help Improve Diagnoses and Healthcare
A digital health company from the UK wants to change the way a patient interacts with a doctor through the creation of an artificial intelligence (AI) doctor in the form of an AI chatbot.
Using AI to Detect Cancer, Not Just Cats
SHAOKANG WANG AND his startup, Infervision, build algorithms that read X-ray images and identify early signs of lung cancer. The company's technology, Wang says, is already running inside four of the largest hospitals in China. Two are merely running tests, but according to Wang, the two others—Shanghai Changzheng and Tongji, both in Shanghai—are installing the technology across their operations. "It's installed on every doctor's machine," he says.
Chinese startup Infervision emerges from stealth with an AI tool for diagnosing lung cancer
Roughly 600,000 people in China die from lung cancer every year. Already the leading cause of death in the pollution-choked and chain-smoking-prone nation, the incidence of lung cancer among China’s citizens is actually going to increase to 800,000 cases per year by 2020.
Nvidia Takes Deep Learning to School
Nvidia is already delivering training services to customers including Adobe, China’s Alibaba, India’s IIT Bombay and the National Institute of Health (NIH), the largest biomedical research agency in the world, which is a part of the U.S. Department of Health and Human Services.