Can We Build a Trustworthy ‘AI’ While Models-As-A-Service (Maas) Is Projected To Take Over?
Regulators in few geographies have defined the components and frameworks but what does it take to create a ‘trustworthy AI’. What are the challenges we
Regulators in few geographies have defined the components and frameworks but what does it take to create a ‘trustworthy AI’. What are the challenges we
Our modern healthcare system is currently facing huge challenges exacerbated by the pandemic, a rise in lifestyle-related diseases, and an exploding world population. The good
“Companies come in promising the world and often don’t deliver,” said Bob Wachter, head of the department of medicine at the University of California, San
MIT alumni-founded company analyzes and annotates dental X-rays to help dentists offer more comprehensive care. A hospital radiologist is often pictured as a specialist who
In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the
Cloud computing plays a central role in healthcare. For starters, it stores electronic health records (EHRs) and keeps them accessible. But, cloud computing also improves
Three years ago, artificial intelligence pioneer Geoffrey Hinton said, “We should stop training radiologists now. It’s just completely obvious that within five years, deep learning
Artificial intelligence (AI) refers to the ability of machines to interpret data and act intelligently, meaning they can make decisions and carry out tasks based
What’s the most overlooked piece of your company’s data strategy? If you’re like many companies, it’s probably proprietary data — data that is unique to
When you think about AI in healthcare, you probably imagine AI-driven drug discovery, or robotic surgery or image analysis. And for good reason — these
Top images show a cancer case missed by six U.S. radiologists but caught by the AI system. Bottom images show a case identified by the
– As the digital pathology market grows, facilities that rely on digital pathology will start using artificial intelligence (AI) to assist. AI could help health professionals cope