The nuances and challenges of using AI in health care

Professor David Sontag outlined case studies in which AI was being used for risk stratification and to reduce the burden of clinical documentation. Some challenges to developing and implementing such models were subsequently covered in this unit$$s casebook and include:

Providing sufficiently labeled data: Do you have access to sufficiently labeled data?

Constantly changing health care data: Will your algorithm be affected by shifting health care data?$$

Deployment: Would current systems and APIs $($application programming interfaces$)$ need to be adjusted or updated?$$

Technical pitfalls: What potential pitfalls should be considered when designing and assessing your algorithms?

Think about a process or task in your context that could be augmented with AI technologies such as those raised by Professor Sontag. Select one of the above mentioned points and think about how the challenges raised may affect your process.