AI Powered COVID 19 Prediction

Bol

In an era where rapid and accurate COVID-19 diagnosis can mean the difference between life and death, this groundbreaking work presents a sophisticated artificial intelligence framework for predicting disease severity. Drawing from cutting-edge research in deep learning and medical imaging, the authors introduce innovative approaches including attention-based UNet architecture and marginal space deep ambiguity transfer learning. This comprehensive study offers healthcare professionals and researchers a robust methodology for analyzing chest CT images and predicting COVID-19 severity levels with unprecedented accuracy. The book bridges the gap between theoretical AI concepts and practical medical applications, presenting a detailed examination of multi-scale learning techniques and their implementation in real-world scenarios. Whether you're a medical professional seeking to enhance diagnostic capabilities or a researcher interested in the intersection of AI and healthcare, this work provides valuable insights into the future of pandemic response and management.

Amazon

Pages: 152, Paperback, LAP Lambert Academic Publishing