Summary of Ai-generated Content Enhanced Computer-aided Diagnosis Model For Thyroid Nodules: a Chatgpt-style Assistant, by Jincao Yao (1 and 2 and 3 and 4 and 5 and 6) et al.
AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant
by Jincao Yao, Yunpeng Wang, Zhikai Lei, Kai Wang, Xiaoxian Li, Jianhua Zhou, Xiang Hao, Jiafei Shen, Zhenping Wang, Rongrong Ru, Yaqing Chen, Yahan Zhou, Chen Chen, Yanming Zhang, Ping Liang, Dong Xu
First submitted to arxiv on: 4 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The abstract presents a new artificial intelligence (AI) model called ThyGPT, designed for computer-aided diagnosis (CAD) in thyroid nodules. Inspired by ChatGPT architecture, ThyGPT enables semantic-level human-machine interaction to assess the risk of thyroid nodules. A dataset of 19,165 ultrasound cases from Zhejiang Cancer Hospital was used to train and validate the model. After training, ThyGPT can automatically evaluate thyroid nodules and engage in communication with physicians. The performance was measured using ROC curve, AUC, sensitivity, and specificity metrics, showing that radiologists supplemented with ThyGPT outperformed peers using traditional methods or the model alone. This study suggests that AI-CAD systems like ThyGPT could transform diagnostic workflows for radiologists. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new artificial intelligence tool called ThyGPT can help doctors diagnose thyroid problems better. It’s like a super smart computer helper! Doctors take ultrasound pictures of thyroid nodules and then use this AI to figure out if the nodules are normal or abnormal. The AI is really good at talking to humans, so it can explain its findings in simple terms. This tool is very accurate and can even give doctors more information than they would get just from looking at the pictures themselves. |
Keywords
» Artificial intelligence » Auc » Roc curve
