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 …
Machine learning and neurosurgical outcome prediction: a systematic review
JT Senders, PC Staples, AV Karhade, MM Zaki… - World neurosurgery, 2018 - Elsevier
Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …
surgical decision-making. An important element of surgical decision making is identification …
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review
Abstract Machine learning (ML) involves algorithms learning patterns in large, complex
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
[HTML][HTML] Management of brain arteriovenous malformations: a scientific statement for healthcare professionals from the American Heart Association/American Stroke …
CP Derdeyn, GJ Zipfel, FC Albuquerque, DL Cooke… - Stroke, 2017 - journals.lww.com
Purpose—The aim of this statement is to review the current data and to make suggestions
for the diagnosis and management of both ruptured and unruptured brain arteriovenous …
for the diagnosis and management of both ruptured and unruptured brain arteriovenous …
[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 …
An introduction and overview of machine learning in neurosurgical care
JT Senders, MM Zaki, AV Karhade, B Chang… - Acta …, 2018 - Springer
Background Machine learning (ML) is a branch of artificial intelligence that allows computers
to learn from large complex datasets without being explicitly programmed. Although ML is …
to learn from large complex datasets without being explicitly programmed. Although ML is …
The impact of artificial intelligence in the odyssey of rare diseases
Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …
Use of gradient boosting machine learning to predict patient outcome in acute ischemic stroke on the basis of imaging, demographic, and clinical information
OBJECTIVE. When treatment decisions are being made for patients with acute ischemic
stroke, timely and accurate outcome prediction plays an important role. The optimal …
stroke, timely and accurate outcome prediction plays an important role. The optimal …
Artificial intelligence in neurosurgery: A state-of-the-art review from past to future
In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …
intelligence (AI), along with a corresponding increase in its practical applications in various …