Unveiling AI Insights: Navigating COVID-19 with Machine Learning and Deep Learning

• Published in: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART) pp. 244 - 250
• Main Authors: Agrawal, Sonali, Sharma, Dilip Kumar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22-12-2023
• Subjects: Applications; Applications of Deep Learning; Applications of Machine Learning; Artificial Intelligence (AI); CNN; COVID-19; Deep learning; Deep Learning (DL); Machine Learning (ML); Machine learning algorithms; Medical services; Pandemic; Pandemics; Predictive models; Public healthcare; SARS-CoV-2; Technology
• ISBN: 9798350369861
• ISSN: 2767-7362
• DOI: 10.1109/SMART59791.2023.10428478

The COVID-19 pandemic has brought unprecedented challenges to global healthcare systems, prompting the exploration of innovative technologies to mitigate its impact. This research paper provides a comprehensive review of the latest developments in applying deep learning (DL) and machine learning (ML) techniques in addressing various aspects of COVID-19. The paper covers various topics, including diagnostic tools, drug discovery, epidemiological modeling, and patient management. Researchers leverage AI, especially DL and ML, to develop efficient algorithms using CT and X-ray images for rapid and accurate COVID-19 diagnosis, with overall accuracies ranging from 86.1% to 99.7% [1].