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Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the data, as we can obtain greater value by identifying and predicting patterns resulting from inductive reasoning. Machine learning software programs that disclose the reasoning behind a prediction allow for “what-if” models by which it is possible to understand if and how, by changing certain factors, one may improve the outcomes, thereby identifying the optimal behavior. Currently, diabetes care is facing several challenges: the decreasing number of diabetologists, the increasing number of patients, the reduced time allowed for medical visits, the growing complexity of the disease both from the standpoints of clinical and patient care, the difficulty of achieving the relevant clinical targets, the growing burden of disease management for both the health care professional and the patient, and the health care accessibility and sustainability. In this context, new digital technologies and the use of artificial intelligence are certainly a great opportunity. Herein, we report the results of a careful analysis of the current literature and represent the vision of the Italian Association of Medical Diabetologists (AMD) on this controversial topic that, if well used, may be the key for a great scientific innovation. AMD believes that the use of artificial intelligence will enable the conversion of data (descriptive) into knowledge of the factors that “affect” the behavior and correlations (predictive), thereby identifying the key aspects that may establish an improvement of the expected results (prescriptive). Artificial intelligence can therefore become a tool of great technical support to help diabetologists become fully responsible of the individual patient, thereby assuring customized and precise medicine. This, in turn, will allow for comprehensive therapies to be built in accordance with the evidence criteria that should always be the ground for any therapeutic choice.

Purpose Of Review: The effects of hypoglycemia can result in injury, including at work. Our goal was to review the recent medical literature regarding hypoglycemia and occupational injuries and provide guidance to clinicians asked to render opinions regarding fitness for work duties in individuals with diabetes.Recent Findings: Recent studies contain conflicting conclusions regarding the occupational risks posed by workers with diabetes. However, the US Federal Motor Carrier Safety Administration concluded there was sufficient evidence to change the rule that previously disqualified commercial drivers with insulin-treated diabetes. Blanket employment policies that disqualify workers with diabetes are unnecessary in many occupational fields. In assessing occupational risks and fitness for duty in workers with diabetes, it is important to perform an individualized assessment of the worker and consider the risk factors for hypoglycemia, information from the treating clinician, essential functions of the job, and, if needed, availability of reasonable accommodations. [ABSTRACT FROM AUTHOR]