Revolutionizing radiation therapy: the role of AI in clinical practice
M Kawamura, T Kamomae, M Yanagawa… - Journal of radiation …, 2024 - academic.oup.com
This review provides an overview of the application of artificial intelligence (AI) in radiation
therapy (RT) from a radiation oncologist's perspective. Over the years, advances in …
therapy (RT) from a radiation oncologist's perspective. Over the years, advances in …
Advancing OCR Accuracy in Image-to-LaTeX Conversion—A Critical and Creative Exploration
This paper comprehensively assesses the application of active learning strategies to
enhance natural language processing-based optical character recognition (OCR) models for …
enhance natural language processing-based optical character recognition (OCR) models for …
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles-Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological …
V Sharma, A Fernández, A Ioanovici… - Proceedings of the …, 2024 - aclanthology.org
Automatic generation of chemotherapy treatment timelines from electronic health records
(EHRs) notes not only streamlines clinical workflows but also promotes better coordination …
(EHRs) notes not only streamlines clinical workflows but also promotes better coordination …
OncoBERT: building an interpretable transfer learning bidirectional encoder representations from transformers framework for longitudinal survival prediction of cancer …
Deep learning transformer models have exhibited exceptional performance in various
clinical tasks, including cancer outcome prediction, when applied to electronic health …
clinical tasks, including cancer outcome prediction, when applied to electronic health …
Pilot applications of GPT-4 in radiation oncology: Summarizing patient symptom intake and targeted chatbot applications
DJH Wu, JE Bibault - Radiotherapy and Oncology, 2024 - Elsevier
This study explores using GPT-4 for radiation toxicity monitoring in prostate cancer
treatments. Two methods were tested: a summarization method and a chatbot interface …
treatments. Two methods were tested: a summarization method and a chatbot interface …
Iterative Prompt Refinement for Radiation Oncology Symptom Extraction Using Teacher-Student Large Language Models
R Khanmohammadi, AI Ghanem, K Verdecchia… - arXiv preprint arXiv …, 2024 - arxiv.org
This study introduces a novel teacher-student architecture utilizing Large Language Models
(LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes …
(LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes …