[HTML][HTML] Deep learning for chest X-ray analysis: A survey

E Çallı, E Sogancioglu, B van Ginneken… - Medical image …, 2021 - Elsevier
Recent advances in deep learning have led to a promising performance in many medical
image analysis tasks. As the most commonly performed radiological exam, chest …

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

M Roberts, D Driggs, M Thorpe, J Gilbey… - Nature Machine …, 2021 - nature.com
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …

AI for radiographic COVID-19 detection selects shortcuts over signal

AJ DeGrave, JD Janizek, SI Lee - Nature Machine Intelligence, 2021 - nature.com
Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that
accurately detect COVID-19 in chest radiographs. However, the robustness of these systems …

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 in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arxiv preprint arxiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

COVID-19 imaging: what we know now and what remains unknown

JP Kanne, H Bai, A Bernheim, M Chung, LB Haramati… - Radiology, 2021 - pubs.rsna.org
Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and
sometimes fatal disease, with mortality most frequently being the result of acute lung injury …

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

M Alhasan, M Hasaneen - Computerized Medical Imaging and Graphics, 2021 - Elsevier
The advancement of technology remained an immersive interest for humankind throughout
the past decades. Tech enterprises offered a stream of innovation to address the universal …

The effectiveness of image augmentation in deep learning networks for detecting COVID-19: A geometric transformation perspective

M Elgendi, MU Nasir, Q Tang, D Smith… - Frontiers in …, 2021 - frontiersin.org
Chest X-ray imaging technology used for the early detection and screening of COVID-19
pneumonia is both accessible worldwide and affordable compared to other non-invasive …

Artificial intelligence-driven assessment of radiological images for COVID-19

Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …

Covid-19 prognosis via self-supervised representation learning and multi-image prediction

A Sriram, M Muckley, K Sinha, F Shamout… - arxiv preprint arxiv …, 2021 - arxiv.org
The rapid spread of COVID-19 cases in recent months has strained hospital resources,
making rapid and accurate triage of patients presenting to emergency departments a …