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
2 minute read
AC Observations
The future of AI in medicine
Imagine the collaborative learning potential of all of our brains and all of our machines as well
2 minute read
AC Observations
Sentience in artificial intelligence
Is it possible that uniquely human characteristics can be perfected by AI?
2 minute read
AC Observations
Monte Carlo simulations and its use in healthcare
A way to improve the decision making process
2 minute read
Literature
Swarm learning for decentralized artificial intelligence in cancer histopathology
Histopathology images from patients with hematoxylin and eosin stained pathology slides of colorectal cancer were part of a swarm learning strategy
2 minute read
2 minute read
Literature
The “coherent data set”: combining patient data and imaging in a comprehensive, synthetic health record
A contribution to the medical community as a concept for AI adoption without having to access data directly
2 minute read
AC Observations
Medical devices and artificial intelligence
Three takeaways on the utility and applicability of artificial intelligence in medical devices
2 minute read
Literature
Deep learning is hitting a wall
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
2 minute read