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 …

COVID-19 automatic diagnosis with radiographic imaging: Explainable attention transfer deep neural networks

W Shi, L Tong, Y Zhu, MD Wang - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
Researchers seek help from deep learning methods to alleviate the enormous burden of
reading radiological images by clinicians during the COVID-19 pandemic. However …

AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks

S Jin, B Wang, H Xu, C Luo, L Wei, W Zhao, X Hou… - MedRxiv, 2020 - medrxiv.org
The sudden outbreak of novel coronavirus 2019 (COVID-19) increased the diagnostic
burden of radiologists. In the time of an epidemic crisis, we hoped artificial intelligence (AI) to …

ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans

M Yousefzadeh, P Esfahanian, SMS Movahed… - PloS one, 2021 - journals.plos.org
The development of medical assisting tools based on artificial intelligence advances is
essential in the global fight against COVID-19 outbreak and the future of medical systems. In …

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors

L Zhou, X Meng, Y Huang, K Kang, J Zhou… - Nature Machine …, 2022 - nature.com
Tremendous efforts have been made to improve diagnosis and treatment of COVID-19, but
knowledge on long-term complications is limited. In particular, a large portion of survivors …

Deep learning–driven automated detection of Covid-19 from radiography images: A comparative analysis

S Rahman, S Sarker, MAA Miraj, RA Nihal… - Cognitive …, 2021 - Springer
The COVID-19 pandemic has wreaked havoc on the whole world, taking over half a million
lives and capsizing the world economy in unprecedented magnitudes. With the world …

The reproducibility issues that haunt health-care AI

K Tsima - Nature, 2023 - nature.com
402| Nature| Vol 613| 12 January 2023| Corrected 12 January© 2023 Springer Nature Li
mited. All rights reserved. diagnosis, guide treatment strategies, conduct pandemic …

[PDF][PDF] Deepcovidexplainer: Explainable covid-19 predictions based on chest x-ray images

M Karim, T Döhmen, D Rebholz-Schuhmann… - arXiv preprint arXiv …, 2020 - saira.eco
Amid the coronavirus disease (COVID-19) pandemic, humanity experiences a rapid
increase in infection numbers across the world. A challenge hospitals are faced with, in the …

Artificial intelligence of COVID-19 imaging: a hammer in search of a nail

RM Summers - Radiology, 2021 - pubs.rsna.org
How does one put this deluge of articles into context? It seems unlikely that an AI system
would detect many patients with COVID-19 who had a negative reverse transcription …

Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays

N Tsiknakis, E Trivizakis… - Experimental and …, 2020 - spandidos-publications.com
COVID-19 has led to an unprecedented healthcare crisis with millions of infected people
across the globe often pushing infrastructures, healthcare workers and entire economies …