2 citations · 2 across the 6 of their papers we have counts for
6 papers
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
Enshuo Hsu, Martin Ugbala, Krishna Kumar Kookal +4
Generative information extraction using large language models, particularly through few-shot learning, has become a popular method. Recent studies indicate that providing a detaile…
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records
Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee +4
This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT…
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression
Yao-Shun Chuang, Chun-Teh Lee, Ryan Brandon +4
This study aimed to utilize text processing and natural language processing (NLP) models to mine clinical notes for the diagnosis of periodontitis and to evaluate the performance o…
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research
Tanjida Kabir, Luyao Chen, Muhammad F Walji +3
Learning about diagnostic features and related clinical information from dental radiographs is important for dental research. However, the lack of expert-annotated data and conveni…
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images
Tanjida Kabir, Chun-Teh Lee, Jiman Nelson +6
Periodontitis is a biofilm-related chronic inflammatory disease characterized by gingivitis and bone loss in the teeth area. Approximately 61 million adults over 30 suffer from per…
Use of the Deep Learning Approach to Measure Alveolar Bone Level
Chun-Teh Lee, Tanjida Kabir, Jiman Nelson +6
Abstract: Aim: The goal was to use a Deep Convolutional Neural Network to measure the radiographic alveolar bone level to aid periodontal diagnosis. Material and methods: A Deep Le…