A group of physicians from the Department of Internal Medicine of Saint Vincent Hospital in Worcester, Massachusetts, expressed their concerns in The American Journal of Medicine over machine learning (ML) and questioned whether new technologies would render a holistic provision of care.

With reference to an article published in the same journal at the turn of the year, the authors said that while ML may accelerate diagnosis and formulation of treatment, it does not take into consideration the natural course of a disease and its phenotypic manifestation i.e development or mutation in different environments. This resulted in
a gap between providing interventions, keeping track of the progressions of the disease and patients’ response time.

The authors claimed the gap is likely to accelerate into a vicious cycle: physicians are rapidly giving medical interventions without paying attention to their clinical effects, causing delay and patient dissatisfaction. Pressure on the physician is then increased through having to make numerous interventions.