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Summary of Ultrasound-based Ai For Covid-19 Detection: a Comprehensive Review Of Public and Private Lung Ultrasound Datasets and Studies, by Abrar Morshed et al.


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

by 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

First submitted to arxiv on: 6 Nov 2024

Categories

  • Main: Computer Vision and Pattern Recognition (cs.CV)
  • Secondary: Artificial Intelligence (cs.AI)

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GrooveSquid.com Paper Summaries

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The paper presents a comprehensive review of artificial intelligence (AI)-driven studies utilizing lung ultrasound (LUS) for COVID-19 detection and analysis. The authors analyzed 60 articles, categorizing them based on the datasets used, and providing an overview of publicly available and private LUS datasets. They also systematically tabulated the studies across various dimensions, including data preprocessing methods, AI models, cross-validation techniques, and evaluation metrics. The findings suggest that ultrasound-based AI studies for COVID-19 detection have great potential for clinical use, especially for children and pregnant women.
Low GrooveSquid.com (original content) Low Difficulty Summary
The paper looks at how artificial intelligence can help doctors diagnose and understand lung infections caused by the coronavirus. It’s a big deal because lots of people have been affected by COVID-19 all over the world, especially those with other health conditions. The authors are interested in something called lung ultrasound, which is like an X-ray but uses sound waves instead of radiation. They want to see if AI can help make it easier and more accurate for doctors to use this technique. They looked at 60 studies that used different kinds of data and AI methods to see what worked best. The results show that using AI with lung ultrasound might be a great way to help doctors diagnose COVID-19, especially for kids and pregnant women.

Keywords

» Artificial intelligence