27 citations · 27 across the 4 of their papers we have counts for
4 papers
Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK
Carlos Garcia-Fernandez, Luis Felipe, Monique Shotande +6
Large language models (LLMs) show promise in healthcare, but hallucinations remain a major barrier to clinical use. We present CHECK, a continuous-learning framework that integrate…
TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet
Luis Felipe, Carlos Garcia, Issam El Naqa +6
The need for robust and diverse data sets to train clinical large language models (cLLMs) is critical given that currently available public repositories often prove too limited in…
Does time to retreatment matter? An NTCP model to predict radionecrosis after repeat SRS for recurrent brain metastases incorporating time-dependent discounted dose
Manju Sharma, Issam El Naqa, Penny K Sneed
Purpose: To develop and compare normal tissue complication probability (NTCP) models for recurrent brain metastases (BMs) treated with repeat single-fraction stereotactic radiosurg…
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…