Exploring the role of artificial intelligence in an emergency and trauma radiology department

S Jalal, W Parker, D Ferguson… - … of Radiologists Journal, 2021 - journals.sagepub.com
… Nevertheless, emergency radiology creates more value by providing finalized imaging
reports to the … Artificial intelligence can be used to assist radiologists deal with the ever-increasing …

Artificial intelligence in emergency medicine: a scoping review

A Kirubarajan, A Taher, S Khan… - … College of Emergency …, 2020 - Wiley Online Library
… of artificial intelligence (AI) in medicine, the applications of AI in an emergency setting remain
… , we can expect further radiology studies with a focus on emergency medicine applications. …

Artificial intelligence and machine learning in emergency medicine: a narrative review

B Mueller, T Kinoshita, A Peebles… - Acute medicine & …, 2022 - Wiley Online Library
… the term artificial intelligence as “the science and engineering of making intelligent machines”.
… reports suggest that the quality of AI interpretation is not inferior to an expert radiologist. …

Artificial intelligence in emergency medicine: surmountable barriers with revolutionary potential

K Grant, A McParland, S Mehta, AD Ackery - Annals of emergency medicine, 2020 - Elsevier
… , including the emergency physician, radiologist, algorithm … in place whereby a radiologist
reviews the radiographs—not … real-time artificial intelligence reporting and radiology review. …

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022

U Koç, EA Sezer, YA Özkaya, Y Yarbay, MS Beşler… - … Radiology, 2024 - Springer
… of abdominal emergencies encountered in daily routine practice in emergency radiology
a competition with the aim of classifying abdominal emergencies detectable on CT using AI, is …

Comparison of chest radiograph interpretations by artificial intelligence algorithm vs radiology residents

JT Wu, KCL Wong, Y Gur, N Ansari… - JAMA network …, 2020 - jamanetwork.com
… sensitivity and 1 − specificity of the radiology residents on the comparison study data set;
dark blue circle, operating point of the artificial intelligence algorithm based on the F1 score–…

Artificial intelligence and machine learning in emergency medicine

KJW Tang, CKE Ang, T Constantinides… - Biocybernetics and …, 2021 - Elsevier
… As increasingly utilised in other disciplines of medicine such as oncology and radiology, it
… the various machine learning and deep learning techniques that are utilized in Emergency

Utility of artificial intelligence tool as a prospective radiology peer reviewer—detection of unreported intracranial hemorrhage

B Rao, V Zohrabian, P Cedeno, A Saha, J Pahade… - Academic radiology, 2021 - Elsevier
… general radiologists or non-ACGME board-eligible fellows from our institution staffing the
emergency radiology section and performing final interpretations. A total of 101 radiologists

Improving radiographic fracture recognition performance and efficiency using artificial intelligence

A Guermazi, C Tannoury, AJ Kompel, AM Murakami… - Radiology, 2022 - pubs.rsna.org
… In conclusion, radiographic artificial intelligence assistance improves the sensitivity, and
may even improve the specificity, of fracture detection by radiologists and nonradiologists …

Noninterpretive uses of artificial intelligence in radiology

ML Richardson, ER Garwood, Y Lee, MD Li, HS Lo… - … Radiology, 2021 - Elsevier
… exhibit artificial intelligence (AI) when it performs a task that would normally require intelligent
… of noninterpretive problems that are relevant to radiologists and their patients. This review …