361 The Automation of Doctors and Machines: A Classification for AI in Medicine (ADAM framework)

Abstract

Abstract Aim The advances in Artificial Intelligence (AI) provide an opportunity to expand the frontier of medicine to improve diagnosis, efficiency, and management. By extension of being able to perform any task that a human could, a machine that meets the requirements of General AI (AGI) possesses the basic necessities to perform as, or at least qualify to become, a doctor. In this emerging field, this article explores the distinctions between doctors and AGI, and the prerequisites for AGI performing as clinicians. With its imminent arrival, it is beneficial to create a framework from which leading institutions can define specific criteria for AGI. Method A normative framework was derived from medical ethical literature and current medical technology. Comparisons were made between current capabilities and the traits of doctors ('doctorhood'). A framework was created that could fulfil current patient and doctor considerations for the use of AI in medicine. Results This Automation of Doctors and Machines (ADAM) framework is set out across 5 levels. As the level progresses, so do the minimum requirements in the core competencies of knowledge, safety, emotion, and independence. Conclusions The development of AI brings with it an exciting era of modern medicine. In order to fully enhance, expand, and regulate this field, the ADAM framework provides a tool to classify its use in medicine. In being able to categorize forms of medical AI, this allows clinicians, patients, and regulators to delineate different forms of AI, and a foundation is created from which governing bodies can set and standardise levels of care.

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