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Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …
Machine learning and AI technologies for smart wearables
The recent progress in computational, communications, and artificial intelligence (AI)
technologies, and the widespread availability of smartphones together with the growing …
technologies, and the widespread availability of smartphones together with the growing …
Heart disease prediction using machine learning
C Boukhatem, HY Youssef… - 2022 Advances in Science …, 2022 - ieeexplore.ieee.org
Cardiovascular disease refers to any critical condition that impacts the heart. Because heart
diseases can be life-threatening, researchers are focusing on designing smart systems to …
diseases can be life-threatening, researchers are focusing on designing smart systems to …
Arabic fake news detection based on deep contextualized embedding models
Social media is becoming a source of news for many people due to its ease and freedom of
use. As a result, fake news has been spreading quickly and easily regardless of its …
use. As a result, fake news has been spreading quickly and easily regardless of its …
[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
WH Abir, MF Uddin, FR Khanam, T Tazin… - Computational …, 2022 - Wiley Online Library
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the
immune system. They are also known as “defender cells.” But the imbalance in the number …
immune system. They are also known as “defender cells.” But the imbalance in the number …
[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …
pandemic control is no exception. The use of mobile apps and technology for the detection …
[HTML][HTML] Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
[HTML][HTML] Past, present and future of research on wearable technologies for healthcare: a bibliometric analysis using Scopus
YM de-la-Fuente-Robles, AJ Ricoy-Cano… - Sensors, 2022 - mdpi.com
Currently, wearable technology is present in different fields that aim to satisfy our needs in
daily life, including the improvement of our health in general, the monitoring of patient …
daily life, including the improvement of our health in general, the monitoring of patient …
[HTML][HTML] Autonomic dysfunction during acute SARS-CoV-2 infection: a systematic review
I Scala, PA Rizzo, S Bellavia, V Brunetti, F Colo… - Journal of Clinical …, 2022 - mdpi.com
Although autonomic dysfunction (AD) after the recovery from Coronavirus disease 2019
(COVID-19) has been thoroughly described, few data are available regarding the …
(COVID-19) has been thoroughly described, few data are available regarding the …
COVID-19 detection systems using deep-learning algorithms based on speech and image data
The global epidemic caused by COVID-19 has had a severe impact on the health of human
beings. The virus has wreaked havoc throughout the world since its declaration as a …
beings. The virus has wreaked havoc throughout the world since its declaration as a …