Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …

Adverse drug events (ADEs) represent one of the most prevalent types of health-care-
related harm, and there is substantial room for improvement in the way that they are …

Transthyretin amyloid cardiomyopathy, an often unrecognized cause of heart failure, is now
treatable with a transthyretin stabilizer. It is therefore important to identify at-risk patients who …

Objectives: Review the current opioid epidemic in the USA. Describe the mode of action of
the opiates. Summarize ways to prevent and manage opiate toxicity and overdose. Explain …

Introduction The US opioid epidemic has been one of the leading causes of injury-related
deaths according to the CDC Injury Center. The increasing availability of data and tools for …

Background Opioid Use Disorder (OUD) and opioid overdose (OD) impose huge social and
economic burdens on society and health care systems. Research suggests that Medication …

Background Artificial intelligence (AI) can be described as the use of computers to perform
tasks that formerly required human cognition. The American Medical Association prefers the …

Predictors of opioid overdose death in neighborhoods are important to identify, both to
understand characteristics of high-risk areas and to prioritize limited prevention and …

Existing predictive models of opioid use disorder (OUD) may change as the rate of opioid
prescribing decreases. Using Veterans Administration's EHR data, we developed machine …

Objective To develop and validate a machine-learning algorithm to improve prediction of
incident OUD diagnosis among Medicare beneficiaries with≥ 1 opioid prescriptions …