Best of ASTRO® 2024: Digital Health Innovation and Informatics – Dr. Srinivas Raman

OR
Please enter your username or email address. You will receive an email message to log in.

Chair
Dr. Paris-Ann Ingledew
Dr. Joanne Alfieri

Speaker
Dr. Srinivas Raman
Studies/trials discussed:
- Artificial intelligence in radiation oncology
- Deep Learning for Automatic Prediction of Lymph Node Station Metastasis in Esophageal Cancer Patients from Contrast-Enhanced CT
- A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain
- A pilot study of machine-learning based automated planning for primary brain tumours
- Dynamic Prediction of Toxicities in Head and Neck Cancer Radiotherapy by 3D Convolutional Neural Network Using Daily Cone-Beam CTs
- Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer