Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework

E Nasarian, R Alizadehsani, UR Acharya, KL Tsui - Information Fusion, 2024 - Elsevier
Background Artificial intelligence (AI)-based medical devices and digital health
technologies, including medical sensors, wearable health trackers, telemedicine, mobile …

Machine learning and AI technologies for smart wearables

KP Seng, LM Ang, E Peter, A Mmonyi - Electronics, 2023 - mdpi.com
The recent progress in computational, communications, and artificial intelligence (AI)
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 …

Arabic fake news detection based on deep contextualized embedding models

AB Nassif, A Elnagar, O Elgendy, Y Afadar - Neural Computing and …, 2022 - Springer
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 …

[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 …

[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review

M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
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 …

[HTML][HTML] Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis

A Abd-Alrazaq, R AlSaad, M Harfouche, S Aziz… - Journal of medical …, 2023 - jmir.org
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
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 …

[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 detection systems using deep-learning algorithms based on speech and image data

AB Nassif, I Shahin, M Bader, A Hassan, N Werghi - Mathematics, 2022 - mdpi.com
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 …