Main description:

- Provides an analysis of machine learning algorithms and their properties useful to our readership. - Provides a state-of-the-art review of the clinical applications of big data in radiation oncology - Offers promising insights into present and future prospects of machine learning in radiation oncology

Contents:

1. AI Applications in Radiation Therapy and Medical Physics 2. Machine Learning for Image-Based Radiotherapy Outcome Prediction 3. Metric Predictions for Machine and Patient-Specific Quality Assurance 4. Data-Driven Treatment Planning, Plan QA and Fast Dose Calculation 5. Reinforcement Learning for Radiation Therapy Planning and Image Processing 6. Image Registration and Segmentation 7. Motion Management and Image-Guided Radiation Therapy 8. Outlook of AI in Medical Physics and Radiation Oncology