AI-Driven Diagnosis and Treatment of COVID-19 Using Deep Learning Approaches

This work investigates deep learning methods for diagnosing and treating COVID-19, with a focus on CNN and Long Short-Term Memory (LSTM) networks for X-ray and CT scan analysis to determine the severity of infection. A sizable collection of patient photographs is utilized to train the algorithm, which offers diagnostic insights and forecasts possible illness development. The framework, which was thoroughly tested in cloud computing environments, allows for scalable implementation in medical institutions and provides a reliable resource for prompt diagnosis and treatment decision support for healthcare professionals.