Currently, recommendations for cancer screening are primarily based on the age of the patient. Therefore, practitioners may not encourage younger at-risk individuals to be screened for cancer. They may unnecessarily encourage older low-risk individuals to screen for cancer. Artificial intelligence (AI) can change this. Farrokh Alemi at George Mason University has edited a collection of five articles by colleagues and students on how data science can be used to predict risk of cancer and enable risk-based AI systems to recommend cancer screening. Their research shows that risk-based models have predict between 60–90% of based on the cancers:
AI can recommend if you need to be screened for cancer
-
HighlightsFree Dark Web Monitoring Stamps the $17 Million Credentials Markets
-
HighlightsSmart buildings: What happens to our free will when tech makes choices for us?
-
AppsScreenshots have generated new forms of storytelling, from Twitter fan fiction to desktop film
-
HighlightsDarknet markets generate millions in revenue selling stolen personal data, supply chain study finds
-
SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
-
Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
