Six is the magic number: the characteristics for ideal healthcare algorithms

Published in PLOS Digital Health, researchers from the University of Florida Health (FL, USA) have presented a checklist to assist the development of machine learning (ML) algorithms. Such algorithms are used in the synthesis of real-world data (RWD), helping clinicians make practical decisions. Clinicians are increasing their reliance on ML, as machines are capable of collating and cohesively deciphering RWD. This data can be used to determine how well a treatment regimen was adhered to, for example, or the probability of complications post-surgery. The researchers had noted, however, that there was a lack of existing guidelines for the development of...