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The Next Clinical Decision Frontier: How to Efficiently and Safely Combine Machine Learning and Human Expertise
3
Zitationen
3
Autoren
2023
Jahr
Abstract
The accurate identification of patients with myocardial infarction (MI) is essential to initiate appropriate treatment and reduce morbidity and mortality (1). The context of shortage of healthcare resources and overcrowded emergency departments (ED) can pose challenges in providing timely and accurate triage for patients with potential cardiac diseases. In recent years, emerging technologies such as new generations of troponin assays and highly sensitive point-of-care testing assays, for example, have greatly facilitated the diagnosis of MI using biochemical tests. It is also clear that the field of healthcare and laboratory medicine is witnessing a rapid transformation with the advent of machine learning and artificial intelligence (AI) technologies (2). These technologies have the potential to revolutionize clinical decision-making processes and significantly impact patient outcomes. Concrete applications are coming with …
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