Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...
Artificial intelligence and algorithms are a part of many businesses these days, including health insurance. It’s a conversation that’s resurfaced since the killing of UnitedHealthcare CEO Brian ...
There's a global shortage of radiologists. Now artificial intelligence is helping speed up the diagnosis of tuberculosis in ...
Preparing cancer patients for difficult decisions is an oncologist’s job. They don’t always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...
Several years ago, teams of scholars published groundbreaking research that pointed to racial biases in algorithms that helped direct patient care at major health systems in the U.S. Those algorithms, ...
This article is part of the “Defending the Algorithm™” series and was written by Pittsburgh, Pennsylvania Business and IP Trial Lawyer Acacia B. Perko, Esq., with research and drafting assistance from ...
The larger problem comes in distribution and the use of algo when content is being shown,” Reliance Industries media ...
Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...
Jason Barnard is a serial entrepreneur, bestselling author, keynote speaker and award-winning innovator. He’s the CEO & founder of Kalicube. Here’s something no one tells you when you’re building a ...
Artificial intelligence systems require consistent monitoring, experts say. This is a KFF Health News story. Preparing cancer patients for difficult decisions is an oncologist's job. They don't always ...