[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

The emergence of AI-based wearable sensors for digital health technology: a review

S Shajari, K Kuruvinashetti, A Komeili, U Sundararaj - Sensors, 2023 - mdpi.com
Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

YX Teoh, KW Lai, J Usman, SL Goh… - Journal of healthcare …, 2022 - Wiley Online Library
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …

Fabric-based piezoresistive Ti3AlC2/PEDOT: PSS force sensor for wearable E-textile applications

T Seesaard, C Wongchoosuk - Organic Electronics, 2023 - Elsevier
Flexible, lightweight, and highly sensitive force sensors have broad applicability in wearable
electronics, robotics, and human-machine interfaces. In this study, we present a novel fabric …

Intelligent wearable systems: Opportunities and challenges in health and sports

L Yang, O Amin, B Shihada - ACM Computing Surveys, 2024 - dl.acm.org
Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Deep learning applications in ecg analysis and disease detection: An investigation study of recent advances

U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Effective cardiovascular health monitoring relies on precise electrocardiogram (ECG)
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …

A resource-efficient ECG diagnosis model for mobile health devices

R Tao, L Wang, B Wu - Information Sciences, 2023 - Elsevier
Mobile health devices with automatic electrocardiogram diagnosis models facilitate long-
term cardiac monitoring and enhance the sensitivity of detecting paroxysmal cardiovascular …

[HTML][HTML] Enhancing healthcare with AI: Sustainable AI and IoT-Powered ecosystem for patient aid and interpretability analysis using SHAP

B Paneru, B Paneru, SC Sapkota, R Poudyal - Measurement: Sensors, 2024 - Elsevier
The healthcare industry has blossomed into one of the most pivotal and technologically
advanced sectors in the past decade. Individuals grapple with the peril of untimely demise …

Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare

F Hussain, M Nauman, A Alghuried, A Alhudhaif… - IEEE …, 2023 - ieeexplore.ieee.org
Recently, the rate of data generation has reached unprecedented levels, leading to a huge
amount of data volume. In addition, modern-day computing systems generate data in …

[HTML][HTML] AI-reinforced wearable sensors and intelligent point-of-care tests

G Yammouri, A Ait Lahcen - Journal of Personalized Medicine, 2024 - mdpi.com
Artificial intelligence (AI) techniques offer great potential to advance point-of-care testing
(POCT) and wearable sensors for personalized medicine applications. This review explores …