Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies

Abrar Morshed; Abdulla Al Shihab; Md Abrar Jahin; Md Jaber Al Nahian; Md Murad Hossain Sarker; Md Sharjis Ibne Wadud; Mohammad Istiaq Uddin; Muntequa Imtiaz Siraji; Nafisa Anjum; Sumiya Rajjab Shristy; Tanvin Rahman; Mahmuda Khatun; Md Rubel Dewan; Mosaddeq Hossain; Razia Sultana; Ripel Chakma; Sonet Barua Emon; Towhidul Islam; Mohammad Arafat Hussain

doi:10.20944/preprints202303.0296.v4

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preprints.org > computer science and mathematics > artificial intelligence and machine learning > doi: 10.20944/preprints202303.0296.v4 (registering DOI)

Preprint Review Version 4 This version is not peer-reviewed

Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies

^* ,

Md Murad Hossain Sarker

Md Sharjis Ibne Wadud

Mohammad Istiaq Uddin

Muntequa Imtiaz Siraji

Nafisa Anjum

Sumiya Rajjab Shristy

Mohammad Arafat Hussain

Version 1 : Received: 15 March 2023 / Approved: 16 March 2023 / Online: 16 March 2023 (02:53:04 CET)
Version 2 : Received: 21 May 2023 / Approved: 23 May 2023 / Online: 23 May 2023 (03:42:44 CEST)
Version 3 : Received: 23 May 2023 / Approved: 24 May 2023 / Online: 25 May 2023 (02:41:35 CEST)
Version 4 : Received: 5 November 2024 / Approved: 7 November 2024 / Online: 8 November 2024 (11:57:41 CET)

How to cite: Morshed, A.; Al Shihab, A.; Jahin, M. A.; Al Nahian, M. J.; Sarker, M. M. H.; Ibne Wadud, M. S.; Uddin, M. I.; Siraji, M. I.; Anjum, N.; Shristy, S. R.; Rahman, T.; Khatun, M.; Dewan, M. R.; Hossain, M.; Sultana, R.; Chakma, R.; Emon, S. B.; Islam, T.; Hussain, M. A. Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. Preprints 2023, 2023030296. https://doi.org/10.20944/preprints202303.0296.v4 Morshed, A.; Al Shihab, A.; Jahin, M. A.; Al Nahian, M. J.; Sarker, M. M. H.; Ibne Wadud, M. S.; Uddin, M. I.; Siraji, M. I.; Anjum, N.; Shristy, S. R.; Rahman, T.; Khatun, M.; Dewan, M. R.; Hossain, M.; Sultana, R.; Chakma, R.; Emon, S. B.; Islam, T.; Hussain, M. A. Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. Preprints 2023, 2023030296. https://doi.org/10.20944/preprints202303.0296.v4

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MDPI and ACS Style

Morshed, A.; Al Shihab, A.; Jahin, M. A.; Al Nahian, M. J.; Sarker, M. M. H.; Ibne Wadud, M. S.; Uddin, M. I.; Siraji, M. I.; Anjum, N.; Shristy, S. R.; Rahman, T.; Khatun, M.; Dewan, M. R.; Hossain, M.; Sultana, R.; Chakma, R.; Emon, S. B.; Islam, T.; Hussain, M. A. Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. Preprints 2023, 2023030296. https://doi.org/10.20944/preprints202303.0296.v4

APA Style

Morshed, A., Al Shihab, A., Jahin, M. A., Al Nahian, M. J., Sarker, M. M. H., Ibne Wadud, M. S., Uddin, M. I., Siraji, M. I., Anjum, N., Shristy, S. R., Rahman, T., Khatun, M., Dewan, M. R., Hossain, M., Sultana, R., Chakma, R., Emon, S. B., Islam, T., & Hussain, M. A. (2024). Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. Preprints. https://doi.org/10.20944/preprints202303.0296.v4

Chicago/Turabian Style

Morshed, A., Towhidul Islam and Mohammad Arafat Hussain. 2024 "Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies" Preprints. https://doi.org/10.20944/preprints202303.0296.v4

Abstract

The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings for detecting COVID-19 lung infections. Among various medical imaging modalities, ultrasound stands out as a low-cost, mobile, and radiation-safe imaging technology. In this comprehensive review, we focus on AI-driven studies utilizing lung ultrasound (LUS) for COVID-19 detection and analysis. We provide a detailed overview of both publicly available and private LUS datasets and categorize the AI studies according to the dataset they used. Additionally, we systematically analyzed and tabulated the studies across various dimensions, including data preprocessing methods, AI models, cross-validation techniques, and evaluation metrics. In total, we reviewed 60 articles, 41 of which utilized public datasets, while the remaining employed private data. Our findings suggest that ultrasound-based AI studies for COVID-19 detection have great potential for clinical use, especially for children and pregnant women. Our review also provides a useful summary for future researchers and clinicians who may be interested in the field.

Keywords

Review; COVID-19; Deep learning; Artificial Intelligence; Lung Ultrasound

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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