“Greater attention to human factors and new techniques may change the way artificial intelligence is trained with small data, according to an article published by Harvard Business Review. Researchers from Accenture wanted to see if opportunities lay within smaller data sets that go unused by organizations. For their study, the researchers focused on annotations added to medical charts by medical coders. With their tens of annotations on each of several thousand charts, the annotations are much smaller compared to data sets with a billion columns and rows. In the experiment, the coders studied RNs who regularly used AI in their coding processes to link medical conditions with proper codes. The …