Humans are better at making diagnoses than their corresponding algorithms, according to the results of a study conducted by researchers from Harvard Medical School, Brigham & Women’s Hospital, and the Human Diagnosis Project. In fact, physicians are more than twice as likely as algorithms to make a correct diagnosis.
These findings may surprise some as earlier research touted the success of artificial intelligence to provide accurate diagnoses. An Indiana University study found using patient data with machine-learning algorithms could actually dramatically improve the quality of healthcare and reduce the associated costs by using simulation modeling.
