Blockchain application in healthcare systems: a review
In the recent years, blockchain technology has gained significant attention in the healthcare
sector. It has the potential to alleviate a wide variety of major difficulties in electronic health …
sector. It has the potential to alleviate a wide variety of major difficulties in electronic health …
Machine learning and smart devices for diabetes management: Systematic review
(1) Background: The use of smart devices to better manage diabetes has increased
significantly in recent years. These technologies have been introduced in order to make life …
significantly in recent years. These technologies have been introduced in order to make life …
Integration of artificial intelligence, blockchain, and wearable technology for chronic disease management: a new paradigm in smart healthcare
Y Xie, L Lu, F Gao, S He, H Zhao, Y Fang, J Yang… - Current Medical …, 2021 - Springer
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from
one or more chronic health conditions, thus placing a heavy burden on individuals, families …
one or more chronic health conditions, thus placing a heavy burden on individuals, families …
Operationalising AI ethics through the agile software development lifecycle: a case study of AI-enabled mobile health applications
Although numerous ethical principles and guidelines have been proposed to guide the
development of artificial intelligence (AI) systems, it has proven difficult to translate these …
development of artificial intelligence (AI) systems, it has proven difficult to translate these …
[HTML][HTML] Overview of artificial intelligence–driven wearable devices for diabetes: scoping review
Background Prevalence of diabetes has steadily increased over the last few decades with
1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has …
1.5 million deaths reported in 2012 alone. Traditionally, analyzing patients with diabetes has …
[HTML][HTML] The effectiveness of wearable devices using artificial intelligence for blood glucose level forecasting or prediction: Systematic review
Background In 2021 alone, diabetes mellitus, a metabolic disorder primarily characterized
by abnormally high blood glucose (BG) levels, affected 537 million people globally, and over …
by abnormally high blood glucose (BG) levels, affected 537 million people globally, and over …
Current advancement in diagnosing atrial fibrillation by utilizing wearable devices and artificial intelligence: A review study
Atrial fibrillation (AF) is a common arrhythmia affecting 8–10% of the population older than
80 years old. The importance of early diagnosis of atrial fibrillation has been broadly …
80 years old. The importance of early diagnosis of atrial fibrillation has been broadly …
The dilemma of analyzing physical activity and sedentary behavior with wrist accelerometer data: challenges and opportunities
Physical behaviors (eg, physical activity and sedentary behavior) have been the focus
among many researchers in the biomedical and behavioral science fields. The recent shift …
among many researchers in the biomedical and behavioral science fields. The recent shift …
Computation of gait parameters in post stroke and parkinson's disease: A comparative study using RGB-D sensors and optoelectronic systems
The accurate and reliable assessment of gait parameters is assuming an important role,
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
[HTML][HTML] Role of caregivers in remote management of patients with type 2 diabetes mellitus: systematic review of literature
Background With the growing use of remote monitoring technologies in the management of
patients with type 2 diabetes mellitus (T2DM), caregivers are becoming important resources …
patients with type 2 diabetes mellitus (T2DM), caregivers are becoming important resources …