Bias and variance in machine learning
Understanding bias and variance is critical for understanding the behavior of prediction models
Understanding bias and variance is critical for understanding the behavior of prediction models
The different roles of parameters and hyperparameters
What are the implications of transformers in AI for clinical medicine and healthcare?
Interesting parallels between the ancient Antikythera Mechanism and current artificial intelligence in clinical medicine
These powerful paradigms will transform clinical medicine and healthcare in this coming decade and beyond
A summary of three AI healthcare disappointments and the accompanying valuable lessons learned
A summary of the three major successful applications of AI in medicine to date
Clinicians need to be in a position to avert AI-enabled automated decisions if necessary and to balance the benefits and risks to patients and the population as a whole
Ethics of the use of AI in healthcare is a new domain and raises interesting issues