Artificial intelligence in emergency radiology: where are we going?
M Cellina, M Cè, G Irmici, V Ascenti, E Caloro… - Diagnostics, 2022 - mdpi.com
Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …
management of different pathologies is essential to saving patients' lives. Artificial …
Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care
OF Hunter, F Perry, M Salehi, H Bandurski… - World Journal of …, 2023 - Springer
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types
that can be trained based on datasets to make predictions. The increasing sophistication of …
that can be trained based on datasets to make predictions. The increasing sophistication of …
Prospective clinical evaluation of deep learning for ultrasonographic screening of abdominal aortic aneurysms
Abdominal aortic aneurysm (AAA) often remains undetected until rupture due to limited
access to diagnostic ultrasound. This trial evaluated a deep learning (DL) algorithm to guide …
access to diagnostic ultrasound. This trial evaluated a deep learning (DL) algorithm to guide …
Clinical Research in Prehospital Care: Current and Future Challenges
J Cimino, C Braun - Clinics and Practice, 2023 - mdpi.com
Prehospital care plays a critical role in improving patient outcomes, particularly in cases of
time-sensitive emergencies such as trauma, cardiac failure, stroke, bleeding, breathing …
time-sensitive emergencies such as trauma, cardiac failure, stroke, bleeding, breathing …
Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics
Purpose To build machine learning models for predicting the risk of in-hospital death in
patients with sepsis within 48 h, using only dynamic changes in the patient's vital signs …
patients with sepsis within 48 h, using only dynamic changes in the patient's vital signs …
Use of a deep-learning algorithm to guide novices in performing focused assessment with sonography in trauma
Focused Assessment with Sonography in Trauma (FAST) could play a role in reduced time
to operative care, shortened hospital length of stay, and lower medical costs. 1 In a 2005 …
to operative care, shortened hospital length of stay, and lower medical costs. 1 In a 2005 …
Using deep learning to detect the presence and location of hemoperitoneum on the focused assessment with sonography in trauma (FAST) examination in adults
Abdominal ultrasonography has become an integral component of the evaluation of trauma
patients. Internal hemorrhage can be rapidly diagnosed by finding free fluid with point-of …
patients. Internal hemorrhage can be rapidly diagnosed by finding free fluid with point-of …
Automated detection and localization of pericardial effusion from point-of-care cardiac ultrasound examination
Abstract Focused Assessment with Sonography in Trauma (FAST) exam is the standard of
care for pericardial and abdominal free fluid detection in emergency medicine. Despite its …
care for pericardial and abdominal free fluid detection in emergency medicine. Despite its …
Applications of artificial intelligence in acute abdominal imaging
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology.
Acute abdominal pain is a common clinical presentation that can range from benign …
Acute abdominal pain is a common clinical presentation that can range from benign …
PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans
Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality
and morbidity. We developed and validated a deep learning model designed to identify …
and morbidity. We developed and validated a deep learning model designed to identify …