Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions
Recent years have witnessed increased pressure across the global healthcare system
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …
[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
HiFuse: Hierarchical multi-scale feature fusion network for medical image classification
X Huo, G Sun, S Tian, Y Wang, L Yu, J Long… - … Signal Processing and …, 2024 - Elsevier
Effective fusion of global and local multi-scale features is crucial for medical image
classification. Medical images have many noisy, scattered features, intra-class variations …
classification. Medical images have many noisy, scattered features, intra-class variations …
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Electrocardiogram (ECG) is an effective non-invasive tool that can detect arrhythmias.
Recently, deep learning (DL) has been widely used in ECG classification algorithms …
Recently, deep learning (DL) has been widely used in ECG classification algorithms …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
[HTML][HTML] Artificial intelligence in orthodontic smart application for treatment coaching and its impact on clinical performance of patients monitored with AI-TeleHealth …
Background: Treatment of malocclusion with clear removable appliances like Invisalign® or
Spark™, require considerable higher level of patient compliance when compared to …
Spark™, require considerable higher level of patient compliance when compared to …
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
Since the advent of COVID-19, the number of deaths has increased exponentially, boosting
the requirement for various research studies that may correctly diagnose the illness at an …
the requirement for various research studies that may correctly diagnose the illness at an …
[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …
However, existing methods are less accurate and prone to overlooking lesions during …
The use of artificial intelligence for delivery of essential health services across WHO regions: a sco** review
JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …
constructing machines capable of simulating and performing tasks usually done by human …