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Found 5 papers, 1 papers with code
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models
This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes.
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology
Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnostic and prognostic models.
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains
Three different experiments are conducted in this study to test the applicability of imitating Tsallis entropy for performance enhancement: Bitcoin price prediction, speech emotion recognition, and chronic neck pain detection.
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs
In this paper, we present Mambanet: a hybrid neural network for predicting the outcomes of Basketball games.
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