Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions
With the advent of the Internet of Things (IoT), artificial intelligence (AI), machine learning
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
(ML), and deep learning (DL) algorithms, the landscape of data-driven medical applications …
Review of machine learning in lung ultrasound in COVID-19 pandemic
Ultrasound imaging of the lung has played an important role in managing patients with
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …
COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During …
A survey on masked facial detection methods and datasets for fighting against COVID-19
B Wang, J Zheng, CLP Chen - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Coronavirus disease 2019 (COVID-19) continues to pose a great challenge to the world
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …
since its outbreak. To fight against the disease, a series of artificial intelligence (AI) …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
A systematic review and IoMT based big data framework for COVID-19 prevention and detection
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by
merging technological, economical, and social opportunities and has recently gained …
merging technological, economical, and social opportunities and has recently gained …
Recent advances in machine learning applied to ultrasound imaging
M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …
because of their capacity to effectively solve a wide variety of challenging problems. The …
Prediction framework on early urine infection in IoT–Fog environment using XGBoost ensemble model
A Gupta, A Singh - Wireless Personal Communications, 2023 - Springer
Urine infections are one of the most prevalent concerns for the healthcare industry that may
impair the functioning of the kidney and other renal organs. As a result, early diagnosis and …
impair the functioning of the kidney and other renal organs. As a result, early diagnosis and …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine
Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the
society and will potentially have an everlasting impact for years to come. In response to this …
society and will potentially have an everlasting impact for years to come. In response to this …
Toward privacy preservation using clustering based anonymization: recent advances and future research outlook
With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …
become a hot research topic resulting in various proposed mechanisms to address this …