. Human and artificial intelligence: comparison and clash of cultures. Machine learning has become ubiquitous and indispensible for solving complex problems in most sciences. As patients' conditions and medical technologies become more complex, its role will continue to grow. However the risk is of over reliance on these systems: no amount of algorithmic finesse or computing power can squeeze out information that is not present. In fact, clinical data alone have relatively limited predictive power for hospital readmissions that may have more to do with social determinants of health. Combining machine-learning software with the clinical judgement and a wise interpretation of information from health care professionals will help to increase the integration between digital world and real practice.