![]() AI techniques have already been shown to be promising for improving diagnosis, imaging interpretation, triage, and medical decision-making within an ED setting. With challenges related to organization and coordination as well as the need for rapid and accurate decision-making for patients categorized as high acuity, novel approaches provided by AI are promising in emergency medicine and services. The field of emergency medicine has received considerable interest in the application of AI to health care owing to the unique nature of this medical practice. Novel Approaches for Reshaping Emergency Medicine Solutions provided by artificial intelligence (AI) could be one of the building blocks of a system-wide improvement for emergency medicine and services. So far, solutions and efforts have mainly focused on improving patient workflow within the ED however, a more comprehensive approach appears more effective. Furthermore, ED crowding has been identified as a major stress factor for health care professionals, leading to burnout and medical errors. The negative effects of ED crowding include impact on several patient-oriented outcomes such as mortality, complication rates, walkouts, time to treatment, satisfaction, and length of stay. The identified causes of increasing ED attendance include nonurgent visits, frequent visitors, extended boarding times, staff shortages, and repeated reductions of downstream beds. Indeed, the number of ED visits worldwide has increased faster than the rate of population growth in the past decades. ![]() Even during times of regular activity, the national efforts to improve waiting times and optimize the health care pathway for patients have underscored the necessity of reconsidering the emergency system. The fragility of the emergency system has been exposed by overcrowded services, extensive waiting times, and exhausted staff struggling to respond to exceptional situations. Introduction Emergency Services Crowding EffectsĮmergency departments (EDs) and related services such as intensive care units and emergency medical dispatch (EMD) have recently been in the spotlight owing to the COVID-19 pandemic. ![]() Second, we examine the ethics and risk specificities of the use of AI in the emergency field. We also propose future directions and perspectives. We review the existing AI systems their algorithms and their derivation, validation, and impact studies. In this viewpoint, we first attempt to depict the landscape of AI-based applications currently in use in the daily emergency field. Artificial intelligence (AI) has matured to the point where it is poised to fundamentally transform health care, and applications within the emergency field are particularly promising. This pandemic has highlighted the failures of a system that needs to be reconsidered, and novel approaches need to be considered.
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