The first use of artificial intelligence (AI) in the ER: triage not diagnosis

We describe a select group of applications to provide the reader with a sense of the current state of AI use in t he ER setting to assess neurologic, pulmonary, and musculoskeletal trauma indications. In the process, we highlight the benefits of triage staging using AI, such as accelerating diagnosis and optimizing workflow, with few downsides. The ability to triage patients and take care of acute processes suc h as intracranial bleed, pneumothorax, and pulmonary embolism will largely benefit the health system, improving patient care and reducing costs. These capabilities are all available now. This first wave of AI applications is not replacing radiologists. Rather, the innovative software is improving th roughput, contributing to the timeliness in which radiologists can get to read abnormal scans, and possibly enhances radiologists’ accuracy. As for what the future holds for the use of AI in radiology, only time will tell.
Source: Emergency Radiology - Category: Emergency Medicine Source Type: research