In medicine, artificial intelligence (AI) is used to support decision-based medical tasks through knowledge- and data-intensive computer-based solutions that ultimately improve the performance of a human care provider (Patel, 2009).

AI-driven applications can outperform dermatologists in classifying suspect skin lesions and can identify pulmonary tuberculosis on chest x-rays, an area prone to expert disagreement (Buch et al, 2018). Researchers used machine learning recently to redefine traditional labels by identifying children with similar comorbidities and disabilities from mixed developmental diagnostic groups (Reynolds and Day, 2018).