Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities

S Baker, W Xiang - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …

Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia

G Mirzaei, H Adeli - Biomedical Signal Processing and Control, 2022 - Elsevier
Alzheimer's disease (AD) is one of the most common form of dementia which mostly affects
elderly people. AD identification in early stages is a difficult task in medical practice and …

Genetics and sports performance: the present and future in the identification of talent for sports based on DNA testing

D Varillas-Delgado, J Del Coso… - European journal of …, 2022 - Springer
The impact of genetics on physiology and sports performance is one of the most debated
research aspects in sports sciences. Nearly 200 genetic polymorphisms have been found to …

Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence

AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …

Machine learning in action: stroke diagnosis and outcome prediction

S Mainali, ME Darsie, KS Smetana - Frontiers in neurology, 2021 - frontiersin.org
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …

A systematic review of machine learning models for predicting outcomes of stroke with structured data

W Wang, M Kiik, N Peek, V Curcin, IJ Marshall… - PloS one, 2020 - journals.plos.org
Background and purpose Machine learning (ML) has attracted much attention with the hope
that it could make use of large, routinely collected datasets and deliver accurate …

[HTML][HTML] Machine learning predictive models for acute pancreatitis: a systematic review

Y Zhou, Y Ge, X Shi, K Wu, W Chen, Y Ding… - International journal of …, 2022 - Elsevier
Introduction Acute pancreatitis (AP) is a common clinical pancreatic disease. Patients with
different severity levels have different clinical outcomes. With the advantages of algorithms …

Machine learning and acute stroke imaging

SA Sheth, L Giancardo, M Colasurdo… - Journal of …, 2023 - jnis.bmj.com
Background In recent years, machine learning (ML) has had notable success in providing
automated analyses of neuroimaging studies, and its role is likely to increase in the future …

The current research landscape of the application of artificial intelligence in managing cerebrovascular and heart diseases: A bibliometric and content analysis

BX Tran, CA Latkin, GT Vu, HLT Nguyen… - International journal of …, 2019 - mdpi.com
The applications of artificial intelligence (AI) in aiding clinical decision-making and
management of stroke and heart diseases have become increasingly common in recent …

Machine learning applications in stroke medicine: Advancements, challenges, and future prospectives

M Daidone, S Ferrantelli… - Neural Regeneration …, 2024 - journals.lww.com
Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …