Development of Artificial Intelligence (AI) tool to detect COVID-19 condition from a chest X-ray image

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Posted by RITChennai from the Technology category at 23 Mar 2022 09:02:12 am.
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Rajalakshmi group of educational institutions in Chennai is familiar for their versatility of academic excellence and research activities. In the group, Centre for Medical Imaging is formed with the objective of creating proficient solutions in medical imaging applications. The centre has members from faculty fraternity, students, and medical imaging professionals.
Ever since the onset of the pandemic COVID-19, the members of the centre discusses the research progress across global in the aspect of medical imaging to detect COVID-19 through various imaging modalities like X-Ray. Ultrasound and CT scan. Initially, we were thinking to use ultrasound images but due to some technical issues, we couldn’t follow it up.
Later we decided to use chest X-ray images and incidentally, we were able to get around 100 COVID-19 affected subjects’ chest X-ray images through open-source Canadian research forum. With the acquired images we planned to develop an Artificial Intelligence (AI) tool to detect COVID-19 condition from the test chest X-ray image.
We decided to add the provision for detecting CAP (Community-Acquired Pneumonia) besides to COVID-19 in the proposed tool. The reason for the inclusion of CAP is that there is a relatively high possibility of getting this condition. We have decided to detect the normal conditions also. Hence, we decided to develop a three-class classifier using that we can detect COVID-19, CAP and normal condition from the test X-ray image.
We acquired the necessary CAP & normal chest X-ray images through RSNA (Radiological Society of North America) for training the AI tool. We used 14,148 chest X-ray images of all these three classes for rigorously training the neural network inbuilt in the AI tool. The training process underwent different iterations until we reach a training accuracy of 99.9. In the testing process, 1661 images were used and by adopting different strategies we are able to get a testing accuracy of 95.4.
Confusion Matrix

<figure class="aligncenter size-large" style="box-sizing: border-box; margin: 0px auto; padding: 0px; display: table;"></figure>Result Parameters:
Precision: 97.18%
Sensitivity/Recall: 94.51%
Specificity: 99.65%
Accuracy: 95.4%

Read More : https://ritchennai.org/blog/2020/04/27/development-of-artificial-intelligence-ai-tool-to-detect-covid-19-condition-from-a-chest-x-ray-image/
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The reason for the inclusion of gas stations near my location that are open is that there is a relatively high possibility of getting this condition. We have decided to detect the normal conditions also.
Posted by KatherineRodriguez at 23 Mar 2022 09:02:12 am.

bilie

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coronavirus, which first surfaced in Wuhan, China, word wipe in December 2019, is the infectious disease that causes the coronavirus illness 2019 [1]. This disease has a high rate of morbidity and mortality and is rapidly expanding around the world.
Posted by Billie34 at 08 Jan 2023 06:14:21 pm.

great

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This product is a machine learning application that was developed after a computer program examined thousands of chest X-ray pictures and predicted with up to 80% accuracy the patient's life-threatening progression over wordle game the course of the next four days. With this device, the authors give clinicians a way to quickly identify which COVID-19 patients are at risk for potentially fatal consequences, enabling them to be more proactive in their treatment and care and lowering death rates.
Posted by annadine at 10 Jan 2023 04:55:37 am.

good

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Medical workers frequently subway surfers employ a chest X-ray for COVID-19 infections since it is a simple and standard imaging diagnostic.
Posted by sharase at 16 Jan 2023 02:31:21 am.

yep

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The development of an Artificial Intelligence (AI) drive mad tool to detect COVID-19 condition from a chest X-ray image is an active area of research in the field of medical imaging and computer vision. The use of AI tools for COVID-19 detection can help healthcare professionals to quickly and accurately identify patients with the virus, allowing for early treatment and isolation.
Posted by otis at 07 Feb 2023 08:19:53 am.
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