Divya Natesan

Conference Oncologist · April 4, 2024 BACKGROUND: Since the onset of COVID-19, oncology practices across the US have integrated telemedicine (TM) and remote patient monitoring (RPM) into routine care and clinical trials. The extent of provider experience and comfort with TM/RPM in treatment tr ... Full text Link to item Cite

Machine Learning Algorithm Prospectively Predicts Survival for High-Risk Patients Undergoing Radiotherapy: A Survival Analysis of SHIELD-RT.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)Mortality prediction is critical to appropriate cancer care planning. This has become a topic of interest, with machine learning (ML) tools demonstrating accurate binary predictions for mortality at specific time points. There ... Full text Cite

Radiation Oncology Provider Telehealth Satisfaction: Survey Results From a Single NCI-Designated Institution.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)Telehealth (TH) for radiation oncology services has emerged as a new modality for care delivery and will likely persist beyond the COVID pandemic. Data regarding radiation oncology provider satisfaction of TH are limited and es ... Full text Cite

Impact of Target Volume and Image Guidance on Post-Prostatectomy Patients Treated With Intensity Modulated Radiation Therapy.

Conference International journal of radiation oncology, biology, physics · November 2021 Purpose/objective(s)Post-operative radiotherapy (PORT) is utilized in select prostate cancer patients. IMRT has been associated with improved dosimetry and acute toxicity. Smaller treatment margins for PORT have been recommended when using image g ... Full text Cite