Abstract Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful tool in health settings, offering personalized clinical care for stroke …
MP McBee, OA Awan, AT Colucci, CW Ghobadi… - Academic radiology, 2018 - Elsevier
As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data processing techniques. One such technique, deep learning (DL), has become a remarkably …
The application of machine learning has rapidly evolved in medicine over the past decade. In stroke, commercially available machine learning algorithms have already been …
Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and …
Artificial intelligence (AI), a computer system aiming to mimic human intelligence, is gaining increasing interest and is being incorporated into many fields, including medicine. Stroke …
M Gurgitano, SA Angileri, GM Rodà, A Liguori… - La radiologia …, 2021 - Springer
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process data, understand its meaning and provide the desired outcome, continuously redefining its …
Rationale and Objectives The automated segmentation of organs and tissues throughout the body using computed tomography and magnetic resonance imaging has been rapidly …
H Kamal, V Lopez, SA Sheth - Frontiers in neurology, 2018 - frontiersin.org
Machine Learning (ML) through pattern recognition algorithms is currently becoming an essential aid for the diagnosis, treatment, and prediction of complications and patient …
The identification and treatment of patients with stroke is becoming increasingly complex as more treatment options become available and new relationships between disease features …