AI in Medicine: The good, the bad and the ugly by Miguel Pereira from plaindata.ai
Advancements in AI have brought great promise of its applications in the fields of medicine and healthcare. AI applications have been proposed in almost every area of medicine: from tools that predict Covid-19 disease severity or treatment response in cancer to management systems that optimize appointment scheduling by accounting for missed appointments.
This talk is a first-hand data centric analysis of AI in medicine. We will analyse methodological limitations, root causes of failure and identify what predicts success of an AI model in this field. We will discuss and establish the healthcare sectors and methods with more potential for successful AI deployment and where AI can make an impact in clinical practice.
Supported by
