Ai for COVID-19 detection from radiographs: Incisive analysis of state of the art techniques, key challenges and future directions

R Karthik, R Menaka, M Hariharan, GS Kathiresan - IRBM, 2022 - Elsevier
Background and objective In recent years, Artificial Intelligence has had an evident impact
on the way research addresses challenges in different domains. It has proven to be a huge …

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era

JA Hallak, AC Scanzera, DT Azar… - Current opinion in …, 2020 - journals.lww.com
COVID-19 is significantly impacting the way we are delivering healthcare. Given the already
successful implementation of artificial intelligence applications and telemedicine in …

[HTML][HTML] COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence

F Dorr, H Chaves, MM Serra, A Ramirez… - Intelligence-based …, 2020 - Elsevier
Purpose To investigate the diagnostic performance of an Artificial Intelligence (AI) system for
detection of COVID-19 in chest radiographs (CXR), and compare results to those of …

Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with …

J Creswell, LNQ Vo, ZZ Qin, M Muyoyeta… - BMC Global and Public …, 2023 - Springer
Despite 30 years as a public health emergency, tuberculosis (TB) remains one of the world's
deadliest diseases. Most deaths are among persons with TB who are not reached with …

Disruptive technologies and future societies: Perspectives and forecasts based on Q-methodology

S Choi, MJ Moon - Futures, 2023 - Elsevier
Based on Q-methodology, this study analyzes public perceptions of disruptive technologies
and their impact on future social changes. It presents four competing perspectives on the …

An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning

MA Khan - International journal of imaging systems and …, 2021 - Wiley Online Library
A type of coronavirus disease called COVID‐19 is spreading all over the globe. Researchers
and scientists are endeavoring to find new and effective methods to diagnose and treat this …

[HTML][HTML] Harnessing machine learning in early COVID-19 detection and prognosis: a comprehensive systematic review

R Dabbagh, A Jamal, JHB Masud, MA Titi, YS Amer… - Cureus, 2023 - ncbi.nlm.nih.gov
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 …

Detection of COVID-19 using deep learning algorithms on chest radiographs

WHK Chiu, V Vardhanabhuti, D Poplavskiy… - Journal of thoracic …, 2020 - journals.lww.com
Purpose: To evaluate the performance of a deep learning (DL) algorithm for the detection of
COVID-19 on chest radiographs (CXR). Materials and Methods: In this retrospective study, a …

Derivation and validation of novel integrated inpatient mortality prediction score for COVID-19 (IMPACT) using clinical, laboratory, and AI—processed radiological …

ED Tenda, J Henrina, A Setiadharma, DJ Aristy… - Scientific reports, 2024 - nature.com
Limited studies explore the use of AI for COVID-19 prognostication. This study investigates
the relationship between AI-aided radiographic parameters, clinical and laboratory data, and …

[HTML][HTML] Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review

J Kufel, K Bargieł, M Koźlik, Ł Czogalik… - … Journal of Medical …, 2022 - ncbi.nlm.nih.gov
This systematic review focuses on using artificial intelligence (AI) to detect COVID-19
infection with the help of X-ray images. Methodology: In January 2022, the authors searched …