I. E. El Naqa

Optimizing the delivery of radiotherapy with artificial intelligence.

Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics.

BACKGROUND A subset of biopsy-confirmed ductal carcinoma in situ (DCIS) cases can be upstaged to invasive breast cancer at surgery. Preoperative identification of upstaging risk is essential for treatment planning. PURPOSE To develop clinical and breast MRI radiomics models to preoperatively predict upstaging in DCIS...

Large Language Models for Automatic ICD-10 Coding in Cancer Treatment and Billing: An Academic-Industry Partnership

The increasing complexity of medical diagnosis and billing necessitates improving International Classification of Diseases (ICD) coding practices. It also requires partnerships between academia and industry to support rigor and implementation in real-world settings. We conducted an academic-industry collaboration invol...

PROACTIVE-AI: An Intelligent Dashboard for Assessing and Predicting of FDA-approved AI Software Performance in Real-World Clinical Scenarios

An interactive web-based dashboard for assessing and predicting the performance of FDA-approved AI software, called PROACTIVE-AI, is developed for the purpose of pro-viding the user with structured guidance on the anticipated performance of AI-enabled medical devices in real-world clinical settings.