Unleashing the Power of Artificial Intelligence for Early Covid-19 Detection Insights from Chest X-Ray Image Analysis

Abstract

Introduction: The COVID-19 pandemic has intensified the need for rapid and accurate diagnostic tools to combat the spread of the virus. In response, artificial intelligence (AI) has emerged as a powerful ally that offers unparalleled capabilities in medical image analysis. This study investigated the utilization of AI for early COVID-19 detection through in-depth analysis of chest X-ray images. AI-driven diagnostic solutions have transformed medical diagnostics by enhancing precision and operational efficiency. Machine learning algorithms assist radiologists in identifying subtle abnormalities and early disease signs across various imaging modalities, including X-rays, MRIs, and CT scans. These tools enable healthcare practitioners to diagnose patients swiftly and accurately, thereby leading to improved outcomes.

Objective: Our motive behind this study is to try to find the reason for such a pandemic in which the whole of humanity has been disturbed. Our science and magical AI system did not help us, and we looked like silent spectators.

Methods: A predictive analysis was performed using a pre-trained ResNet50 model from Kera’s model with a TensorFlow backend. Now, we use the Deep Learning Model to provide access and usage of this model to search and detect the COVID status. To perform programming tasks, we used the Python programming language, and Mr. Badal fulfilled all programming needs very carefully.

Results: Predictive analytics powered by AI are transforming disease treatment by identifying patterns and risk factors associated with specific diseases, enabling medical professionals to anticipate disease progression and devise individualized preventive strategies. In this study, we used real-time data from 63,580 patients, and our algorithm successfully identified 93.47% of cases. By leveraging advanced deep learning algorithms, our study delves into the intricate patterns and subtle anomalies indicative of COVID-19 manifestations.

Conclusion: This research underscores the critical role of artificial intelligence (AI) in combating the global COVID-19 pandemic. By analyzing chest X-ray images, AI-driven diagnostic solutions can enhance precision and operational efficiency, enabling healthcare practitioners to diagnose patients instantly and accurately. Our study leveraged a pre-trained ResNet50 model with a TensorFlow backend to successfully identify 93.47% of COVID-19 cases using real-time data from 63,580 patients. While science and AI have not yet provided all answers, our research demonstrates the potential of AI as a reliable diagnostic tool in the fight against this devastating pandemic.