Artificial intelligence in healthcare: past, present and future
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm
shift to healthcare, powered by increasing availability of healthcare data and rapid progress …
shift to healthcare, powered by increasing availability of healthcare data and rapid progress …
Deep learning in radiology
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 …
processing techniques. One such technique, deep learning (DL), has become a remarkably …
Machine learning for brain stroke: a review
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 …
has become a powerful tool in health settings, offering personalized clinical care for stroke …
[HTML][HTML] Machine learning in action: stroke diagnosis and outcome prediction
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …
In stroke, commercially available machine learning algorithms have already been …
[HTML][HTML] Deep into the brain: artificial intelligence in stroke imaging
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 …
increasing interest and is being incorporated into many fields, including medicine. Stroke …
Interventional Radiology ex-machina: Impact of Artificial Intelligence on practice
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 …
data, understand its meaning and provide the desired outcome, continuously redefining its …
Machine learning in acute ischemic stroke neuroimaging
Machine Learning (ML) through pattern recognition algorithms is currently becoming an
essential aid for the diagnosis, treatment, and prediction of complications and patient …
essential aid for the diagnosis, treatment, and prediction of complications and patient …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
C Surianarayanan, JJ Lawrence, PR Chelliah… - Sensors, 2023 - mdpi.com
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 …
human intelligence using machines so that such machines gain problem-solving and …
Artificial intelligence for decision support in acute stroke—current roles and potential
The identification and treatment of patients with stroke is becoming increasingly complex as
more treatment options become available and new relationships between disease features …
more treatment options become available and new relationships between disease features …