A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

AliveCor announced today that it received FDA clearance for the next generation of its AI technology for the Kardia 12L ECG ...

"The Potential Impact of Artificial Intelligence on Health Care Costs" is a new National Bureau of Economic Research (NBER) ...

How Can Organizations Build Cybersecurity Confidence with Agentic AI? What if there was a way to seamlessly integrate cybersecurity protocols into the very fabric of your organization without ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

According to the MarkTechPost report, CatBoost’s high accuracy and processing speed, along with its broad versatility, allowed it to be included among six non-US technologies that have succeeded in ...

The first time a deepfake hits your business, it won’t feel like a cyberattack. It will look like a routine meeting invite, a ...