AC Observations
Essential innovation lessons in healthcare
Part II: An ideal coupling for artificial intelligence
3 minute read
AC Observations
Essential innovation lessons in healthcare
Part I: An ideal coupling for artificial intelligence
2 minute read
AC Observations
Digital twins and artificial intelligence
The future of precision medicine and population health
2 minute read
AC Observations
Extended reality (XR) + artificial intelligence (AI) = intelligent reality (IR)
The future of clinical medicine and medical education/clinical training.
2 minute read
AC Observations
Transformers and artificial intelligence in medicine
How are transformers being used in NLP and computer vision?
2 minute read
AC Observations
An AI strategy for hospitals and health systems
Why you need one and how to get started (Part I)
2 minute read
AC Observations
Is deep learning supervised or unsupervised?
Supervised, unsupervised, semi-supervised, self-supervised, reinforcement … Dr Chang responds to a simple yet complicated question.
2 minute read
AC Observations
Causal inference: the future paradigm of artificial intelligence
The future of AI, especially as we aim to reach artificial general intelligence (AGI), will need to learn similarly to how a child learns.
2 minute read
AC Observations
Top three suggestions for clinicians wanting to work in health AI
Anthony Chang shares his recommendations for clinicians wanting to leave the comfort zone of clinical medicine and enter the domain of AI in healthcare.
2 minute read