27 citations · 57 across the 4 of their papers we have counts for
4 papers
Automated Triaging and Transfer Learning of Incident Learning Safety Reports Using Large Language Representational Models
Peter Beidler, Mark Nguyen, Kevin Lybarger +3
PURPOSE: Incident reports are an important tool for safety and quality improvement in healthcare, but manual review is time-consuming and requires subject matter expertise. Here we…
Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020
Mark Nguyen, Peter Beidler, Joseph Tsai +4
Investigators, funders, and the public desire knowledge on topics and trends in publicly funded research but current efforts in manual categorization are limited in scale and under…
NCI Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation
John Kang, Reid F. Thompson, Sanjay Aneja +5
Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There…
Genomics models in radiotherapy: from mechanistic to machine learning
John Kang, James T. Coates, Robert L. Strawderman +2
Machine learning provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While machine learning is often applied for imagin…