A review of the role of artificial intelligence in healthcare
A Al Kuwaiti, K Nazer, A Al-Reedy, S Al-Shehri… - Journal of personalized …, 2023 - mdpi.com
Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …
general literature review uncovering the role of AI in healthcare and focuses on the following …
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Over the past decade, there has been a notable surge in AI-driven research, specifically
geared toward enhancing crucial clinical processes and outcomes. The potential of AI …
geared toward enhancing crucial clinical processes and outcomes. The potential of AI …
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 …
Nanomaterials‐based sensors for the detection of COVID‐19: A review
With the threat of increasing SARS‐CoV‐2 cases looming in front of us and no effective and
safest vaccine available to curb this pandemic disease due to its sprouting variants, many …
safest vaccine available to curb this pandemic disease due to its sprouting variants, many …
Hemogram‐based decision tree models for discriminating COVID‐19 from RSV in infants
D Dobrijević, L Andrijević, J Antić… - Journal of Clinical …, 2023 - Wiley Online Library
Objective Decision trees are efficient and reliable decision‐making algorithms, and
medicine has reached its peak of interest in these methods during the current pandemic …
medicine has reached its peak of interest in these methods during the current pandemic …
[HTML][HTML] Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis
LL Jia, JX Zhao, NN Pan, LY Shi, LP Zhao… - European journal of …, 2022 - Elsevier
Abstract Objectives When diagnosing Coronavirus disease 2019 (COVID‐19), radiologists
cannot make an accurate judgments because the image characteristics of COVID‐19 and …
cannot make an accurate judgments because the image characteristics of COVID‐19 and …
Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection
Background Artificial intelligence technologies in classification/detection of COVID-19
positive cases suffer from generalizability. Moreover, accessing and preparing another large …
positive cases suffer from generalizability. Moreover, accessing and preparing another large …
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and
investigate whether the diagnostic performance of radiologists was improved by referring to …
investigate whether the diagnostic performance of radiologists was improved by referring to …
[HTML][HTML] Harnessing machine learning in early COVID-19 detection and prognosis: a comprehensive systematic review
During the early phase of the COVID-19 pandemic, reverse transcriptase-polymerase chain
reaction (RT-PCR) testing faced limitations, prompting the exploration of machine learning …
reaction (RT-PCR) testing faced limitations, prompting the exploration of machine learning …
Glucocorticoid therapy in COVID-19
F Amati, A Tonutti, J Huston… - Seminars in respiratory …, 2023 - thieme-connect.com
Coronavirus disease 2019 (COVID-19) pneumonia caused by severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality in pandemic …
syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality in pandemic …