ABSTRACT
Non-AI decision making can be defined as those methods and tools used to increase information content in the context of some specific clinical situation without having cause to refer to knowledge embodied in a computer program. Theoretical advances in the 1950s added rigor to this domain when Meehl argued that many clinical decisions could be made by statistical rather than intuitive means [1]. Evidence of this view was supported by Savage [2], whose theory of choice under uncertainty is still the classical and most elegant formulation of subjective Bayesian decision theory, and was very much responsible for reintroducing Bayesian decision analysis to clinical medicine. Ledley and Ludsted [3] provided further evidence that medical reasoning could be made explicit and represented in decision theoretic ways. Decision theory also provided the means for Nash to develop a “Logoscope,” which might be considered as the first mechanical diagnostic aid [4].
