OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics
This paper proposes OrthoGPT, a multimodal generative pre-trained transformer model designed for precise diagnosis and treatment of orthopedic diseases. It addresses several challenges in orthopedic care, such as the difficulties in emergency management outside hospital settings, the complexity and...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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POSTS&TELECOM PRESS Co., LTD
2024-09-01
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| Series: | 智能科学与技术学报 |
| Subjects: | |
| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202433 |
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| _version_ | 1846171099546517504 |
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| author | ZHANG Zhicheng WANG Jing ZHANG Yang TIAN Yonglin ZHANG Mengmeng LYU Yisheng WANG Fei-Yue |
| author_facet | ZHANG Zhicheng WANG Jing ZHANG Yang TIAN Yonglin ZHANG Mengmeng LYU Yisheng WANG Fei-Yue |
| author_sort | ZHANG Zhicheng |
| collection | DOAJ |
| description | This paper proposes OrthoGPT, a multimodal generative pre-trained transformer model designed for precise diagnosis and treatment of orthopedic diseases. It addresses several challenges in orthopedic care, such as the difficulties in emergency management outside hospital settings, the complexity and high risks associated with surgical planning, and the strong demand for personalized rehabilitation therapy. The model leverages multimodal feature alignment and fusion technology, multi-scenario personalized diagnosis and treatment plan generation technology, combined with an orthopedic world model based on parallel theory and multi-agent methods. It aims to provide preliminary diagnosis and emergency guidance in non-hospital scenarios, simulate and predict personalized postoperative treatment outcomes, assist doctors in surgical planning, and offer personalized rehabilitation treatment suggestions. The purpose of this paper is to explore the potential applications of OrthoGPT in improving the efficiency and effectiveness of orthopedic diagnosis and treatment, enhancing the patient experience, and advancing the development and application of artificial intelligence in the field of orthopedics. |
| format | Article |
| id | doaj-art-22ef7fcee56a4bc69183b5705018fb08 |
| institution | Kabale University |
| issn | 2096-6652 |
| language | zho |
| publishDate | 2024-09-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 智能科学与技术学报 |
| spelling | doaj-art-22ef7fcee56a4bc69183b5705018fb082024-11-11T06:58:06ZzhoPOSTS&TELECOM PRESS Co., LTD智能科学与技术学报2096-66522024-09-01633834676168293OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedicsZHANG ZhichengWANG JingZHANG YangTIAN YonglinZHANG MengmengLYU YishengWANG Fei-YueThis paper proposes OrthoGPT, a multimodal generative pre-trained transformer model designed for precise diagnosis and treatment of orthopedic diseases. It addresses several challenges in orthopedic care, such as the difficulties in emergency management outside hospital settings, the complexity and high risks associated with surgical planning, and the strong demand for personalized rehabilitation therapy. The model leverages multimodal feature alignment and fusion technology, multi-scenario personalized diagnosis and treatment plan generation technology, combined with an orthopedic world model based on parallel theory and multi-agent methods. It aims to provide preliminary diagnosis and emergency guidance in non-hospital scenarios, simulate and predict personalized postoperative treatment outcomes, assist doctors in surgical planning, and offer personalized rehabilitation treatment suggestions. The purpose of this paper is to explore the potential applications of OrthoGPT in improving the efficiency and effectiveness of orthopedic diagnosis and treatment, enhancing the patient experience, and advancing the development and application of artificial intelligence in the field of orthopedics.http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202433orthopedics;large language models;smart healthcare;parallel medicine |
| spellingShingle | ZHANG Zhicheng WANG Jing ZHANG Yang TIAN Yonglin ZHANG Mengmeng LYU Yisheng WANG Fei-Yue OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics 智能科学与技术学报 orthopedics;large language models;smart healthcare;parallel medicine |
| title | OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics |
| title_full | OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics |
| title_fullStr | OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics |
| title_full_unstemmed | OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics |
| title_short | OrthoGPT: multimodal generative pre-trained transformer models for precise diagnosis and treatment of orthopedics |
| title_sort | orthogpt multimodal generative pre trained transformer models for precise diagnosis and treatment of orthopedics |
| topic | orthopedics;large language models;smart healthcare;parallel medicine |
| url | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202433 |
| work_keys_str_mv | AT zhangzhicheng orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT wangjing orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT zhangyang orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT tianyonglin orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT zhangmengmeng orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT lyuyisheng orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics AT wangfeiyue orthogptmultimodalgenerativepretrainedtransformermodelsforprecisediagnosisandtreatmentoforthopedics |