Artificial Intelligence in Emergency Radiology - A Review

Abstract

This article discusses the growing role of artificial intelligence (AI) in radiology, with a particular focus on its application in emergency departments.Due to the rise in imaging tests, which often involve medical emergencies, radiologists are experiencing an increase in workload.That is why artificial intelligence has great potential in developing new algorithms based on different machine learning methods.Recent clinical studies show that artificial intelligence can match, and sometimes even surpass, human specialists in detecting conditions such as pulmonary embolism, stroke, fractures, and small bowel obstruction.Despite promising research results, we have to take into account the irregularities that AI may exhibit, such as regulations concerning data privacy, bias in AI training, and the lack of transparency in how it makes decisions, known as the "black box" problem.Further research should focus on preparing AI protocols with medical professionals and algorithm programmers.Researchers should carry the work forward to validate the sample volume and its diversity.

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