[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward

A Rejeb, K Rejeb, H Treiblmaier, A Appolloni… - Internet of Things, 2023 - Elsevier
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …

Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review

AM Antoniadi, Y Du, Y Guendouz, L Wei, C Mazo… - Applied Sciences, 2021 - mdpi.com
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images

T Kavitha, PP Mathai, C Karthikeyan, M Ashok… - Interdisciplinary …, 2021 - Springer
Breast cancer is a commonly occurring disease in women all over the world. Mammogram is
an efficient technique used for screening and identification of abnormalities over the breast …

Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks

S Ashwinkumar, S Rajagopal, V Manimaran… - Materials Today …, 2022 - Elsevier
Agriculture is the major occupation in India and it loses 35% of the crop productivity annually
owing to plant diseases. Earlier plant disease detection is a tedious process because of …

Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model

RF Mansour, J Escorcia-Gutierrez, M Gamarra… - Image and Vision …, 2021 - Elsevier
Recently, intelligent video surveillance applications have become essential in public
security by the use of computer vision technologies to investigate and understand long video …

Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges

N El-Rashidy, S El-Sappagh, SMR Islam, H M. El-Bakry… - Diagnostics, 2021 - mdpi.com
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …

A new machine learning-based healthcare monitoring model for student's condition diagnosis in Internet of Things environment

A Souri, MY Ghafour, AM Ahmed, F Safara, A Yamini… - Soft Computing, 2020 - Springer
Advancement in sensor technologies has resulted in rapid evolution of Internet of Things
(IoT) applications for developing behavioral and physiological monitoring systems such as …

A comprehensive review on blockchain and Internet of Things in healthcare

A Sharma, S Kaur, M Singh - Transactions on Emerging …, 2021 - Wiley Online Library
Blockchain Technology, the fundamental technology behind Bitcoin, has drawn
considerable recognition ever since its origin. Its potential has gained significant interest in …

Can AI see bias in X-ray images?

M Szankin, A Kwasniewska - International Journal of Network Dynamics …, 2022 - sciltp.com
Recent advances in artificial intelligence (AI) have shown promising results in various image-
based systems, improving accuracy and throughput, while reducing latency. All these factors …

An open IoHT-based deep learning framework for online medical image recognition

CMJM Dourado, SPP da Silva… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Systems developed to work with computational intelligence have become very efficient, and
in some cases obtain more accurate results than evaluations by humans. Hence, this work …