As the development of medicine accelerates in the age of COVID-19, the methods and processes through which we conduct the most basic of clinical activities – diagnosing and treating patients – must advance as well.
Although machine learning algorithms show great potential in optimizing patient care, imaginative or associative patterns of learning are necessary in order for such learning algorithms to replicate the cognitive abilities of physicians.
