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 …
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 …
Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable
The most difficult clinical questions in stroke rehabilitation are “What is this patient's potential
for recovery?” and “What is the best rehabilitation strategy for this person, given her/his …
for recovery?” and “What is the best rehabilitation strategy for this person, given her/his …
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 …
Restoring brain function after stroke—bridging the gap between animals and humans
NS Ward - Nature Reviews Neurology, 2017 - nature.com
Stroke is the leading cause of complex adult disability in the world. Recovery from stroke is
often incomplete, which leaves many people dependent on others for their care. The …
often incomplete, which leaves many people dependent on others for their care. The …
Post-stroke outcomes predicted from multivariate lesion-behaviour and lesion network map**
Clinicians and scientists alike have long sought to predict the course and severity of chronic
post-stroke cognitive and motor outcomes, as the ability to do so would inform treatment and …
post-stroke cognitive and motor outcomes, as the ability to do so would inform treatment and …
Map** human brain lesions and their functional consequences
HO Karnath, C Sperber, C Rorden - Neuroimage, 2018 - Elsevier
Neuroscience has a long history of inferring brain function by examining the relationship
between brain injury and subsequent behavioral impairments. The primary advantage of this …
between brain injury and subsequent behavioral impairments. The primary advantage of this …
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 …