Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

S Sarker, L Jamal, SF Ahmed, N Irtisam - Robotics and autonomous …, 2021 - Elsevier
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): A detailed review with direction for future research

TA Soomro, L Zheng, AJ Afifi, A Ali, M Yin… - Artificial Intelligence …, 2022 - Springer
Since early 2020, the whole world has been facing the deadly and highly contagious
disease named coronavirus disease (COVID-19) and the World Health Organization …

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

MF Aslan, MF Unlersen, K Sabanci, A Durdu - Applied Soft Computing, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …

FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies

S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo… - Academic radiology, 2022 - Elsevier
Rationale and Objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …

A systematic review on AI/ML approaches against COVID-19 outbreak

O Dogan, S Tiwari, MA Jabbar, S Guggari - Complex & Intelligent Systems, 2021 - Springer
Abstract A pandemic disease, COVID-19, has caused trouble worldwide by infecting millions
of people. The studies that apply artificial intelligence (AI) and machine learning (ML) …

Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey

Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

Role of artificial intelligence in COVID-19 detection

A Gudigar, U Raghavendra, S Nayak, CP Ooi… - Sensors, 2021 - mdpi.com
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and
affected the livelihood of many more people. Early and rapid detection of COVID-19 is a …

[HTML][HTML] Machine and deep learning for tuberculosis detection on chest x-rays: systematic literature review

S Hansun, A Argha, ST Liaw, BG Celler… - Journal of medical Internet …, 2023 - jmir.org
Background Tuberculosis (TB) was the leading infectious cause of mortality globally prior to
COVID-19 and chest radiography has an important role in the detection, and subsequent …

Comprehensive survey of using machine learning in the COVID-19 pandemic

N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali… - Diagnostics, 2021 - mdpi.com
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …

[PDF][PDF] Involving machine learning techniques in heart disease diagnosis: a performance analysis

BS Shukur, MM Mijwil - International Journal of Electrical and …, 2023 - academia.edu
Artificial intelligence is a science that is growing at a tremendous speed every day and has
become an essential part of many domains, including the medical domain. Therefore …