Current triage strategies are not effective in correctly identifying patients suffering from acute coronary syndrome (ACS). The diagnostic workup of patients presenting with acute chest pain continues to represent a major challenge for emergency department (ED) personnel. This statement holds especially true for patients with a low to intermediate likelihood for ACS. Taking current concepts for the diagnosis and management of patients presenting with acute chest pain to the ED into account, this article discusses the evidence and potential role of coronary computed tomography angiography to improve management of patients with possible ACS.
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Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.
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Department of Epidemiology and Public Health, University of Maryland School of Maryland; Baltimore, MD.
Background: Clinicians often start unnecessarily broad-spectrum empiric Gram-negative antibiotics out of the concern that delaying effective therapy could lead to a worse clinical outcome. This study examined the consequences of delayed initiation of broad-spectrum Gram-negative antibiotics.
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