AC Observations
Incorporating cognitive elements into existing AI tools
Deep reinforcement learning is still not widely applied in clinical medicine, but is perhaps one of the most promising AI tools for the future
Deep reinforcement learning is still not widely applied in clinical medicine, but is perhaps one of the most promising AI tools for the future
Imagine the collaborative learning potential of all of our brains and all of our machines as well
Is it possible that uniquely human characteristics can be perfected by AI?
A way to improve the decision making process
Histopathology images from patients with hematoxylin and eosin stained pathology slides of colorectal cancer were part of a swarm learning strategy
A contribution to the medical community as a concept for AI adoption without having to access data directly
Three takeaways on the utility and applicability of artificial intelligence in medical devices
We need more “intelligent” AI that can deal with new and outlier situations and this cannot come simply from more data and deep learning alone