Recent Developments in the Prediction of Clinical Outcomes Data in Radiation Oncology - 2021 Annual Meeting
Recent Developments in the Prediction of Clinical Outcomes Data in Radiation Oncology - 2021 Annual Meeting is organized by American Society for Radiation Oncology (ASTRO).
Course opens: 01/18/2022
Course expires: 01/23/2025
Description :
The prediction of treatment outcomes for individual patients or patient populations, including tumor control and normal tissue toxicity, has always been of tremendous importance for driving clinical practice in Radiation Oncology and at the same time has been an active area within the research community for developing new algorithms, models and analysis methods. Predicting patient outcomes and developing new evidence-based therapeutic regimes are by no means trivial tasks as the complexity of the problem goes beyond simple empirical observations and requires a multidisciplinary approach that relies heavily on mathematical modeling, statistical analysis, and, more recently, artificial intelligence. In this session, speakers will address the diversity of challenges encountered when attempting to predict the outcome of radiotherapy.
Learning Objectives :
Upon completion of this activity, participants should be able to:
• Explain the role of radiobiological modeling and deep learning approaches for treatment outcome predictions in radiation oncology.
• Identify the advantages and the potential limitations of the predictive approaches based on radiobiological modeling and radionics analysis.
• Discuss the potential implementation of the predictive models in the clinical practice with respect to treatment optimization and individualization.
Additional details will be posted as soon as information is available.