Technology and Application Development of Medical Foundation Model
The medical foundation model performs efficient processing and pattern recognition of complex medical data based on a deep neural network architecture, providing a new type of decision support for intelligent medical care. It is necessary to systematically analyze the technologies and application of...
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| Format: | Article |
| Language: | zho |
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《中国工程科学》杂志社
2024-12-01
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| Series: | 中国工程科学 |
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| Online Access: | https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.07.020 |
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| _version_ | 1850214599296548864 |
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| author | Xiaohong Chen Liu Liu Yige Yuan Junpu Wang Dayuan Li Jianhua Qiu |
| author_facet | Xiaohong Chen Liu Liu Yige Yuan Junpu Wang Dayuan Li Jianhua Qiu |
| author_sort | Xiaohong Chen |
| collection | DOAJ |
| description | The medical foundation model performs efficient processing and pattern recognition of complex medical data based on a deep neural network architecture, providing a new type of decision support for intelligent medical care. It is necessary to systematically analyze the technologies and application of the medical foundation model, thus to identify the development directions and challenges and improve the capabilities of the medical care sector in medical text writing, medical image recognition, medical equipment research and development, and medical education using the medical foundation model. This study sorts out the technology paradigm and application scenarios of the medical foundation model and proposes a technology system and an evaluation system for the model. The technology system is composed of a base layer, a model layer, an application layer, and a common module. The evaluation system involves the establishment of an evaluation index system, dataset range and question types, model alignment methods, and model evaluation platforms. Moreover, application challenges of the medical foundation model are identified in terms of data security, technical risks, implementing challenges, and ethics. Furthermore, the following countermeasures are suggested: (1) ensuring data security through government guidance, (2) accelerating basic theoretical research to address technic risks, (3) focusing on application scenarios to cope with implementing challenges, (4) improving the ethics regulating mechanism, and (5) perfecting the public service system to create an innovation ecosystem, thereby accelerating the innovative development of the medical foundation model and promoting the high-end, intelligent, and green development of intelligent medical care in China. |
| format | Article |
| id | doaj-art-10e87ddb426e4e76a02d9586418ad501 |
| institution | OA Journals |
| issn | 1009-1742 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | 《中国工程科学》杂志社 |
| record_format | Article |
| series | 中国工程科学 |
| spelling | doaj-art-10e87ddb426e4e76a02d9586418ad5012025-08-20T02:08:50Zzho《中国工程科学》杂志社中国工程科学1009-17422024-12-01266778810.15302/J-SSCAE-2024.07.020Technology and Application Development of Medical Foundation ModelXiaohong Chen0Liu Liu1Yige Yuan2Junpu Wang3Dayuan Li4Jianhua Qiu51. School of Business, Central South University, Changsha 410083, China|2. Xiangjiang Laboratory, Changsha 410205, China|3. School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China|4. School of Management Science and Engineering, Hunan University of Technology and Business, Changsha 410205, China1. School of Business, Central South University, Changsha 410083, China|2. Xiangjiang Laboratory, Changsha 410205, China|3. School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China|4. School of Management Science and Engineering, Hunan University of Technology and Business, Changsha 410205, China2. Xiangjiang Laboratory, Changsha 410205, China5. Xiangya Hospital of Central South University, Changsha 410008, China|6. School of Basic Medical Sciences, Central South University, Changsha 410008, China1. School of Business, Central South University, Changsha 410083, China7. Athena Eyes Co. , Ltd. , Changsha 410036, ChinaThe medical foundation model performs efficient processing and pattern recognition of complex medical data based on a deep neural network architecture, providing a new type of decision support for intelligent medical care. It is necessary to systematically analyze the technologies and application of the medical foundation model, thus to identify the development directions and challenges and improve the capabilities of the medical care sector in medical text writing, medical image recognition, medical equipment research and development, and medical education using the medical foundation model. This study sorts out the technology paradigm and application scenarios of the medical foundation model and proposes a technology system and an evaluation system for the model. The technology system is composed of a base layer, a model layer, an application layer, and a common module. The evaluation system involves the establishment of an evaluation index system, dataset range and question types, model alignment methods, and model evaluation platforms. Moreover, application challenges of the medical foundation model are identified in terms of data security, technical risks, implementing challenges, and ethics. Furthermore, the following countermeasures are suggested: (1) ensuring data security through government guidance, (2) accelerating basic theoretical research to address technic risks, (3) focusing on application scenarios to cope with implementing challenges, (4) improving the ethics regulating mechanism, and (5) perfecting the public service system to create an innovation ecosystem, thereby accelerating the innovative development of the medical foundation model and promoting the high-end, intelligent, and green development of intelligent medical care in China.https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.07.020medical foundation modelmultimodal datapre-training and fine-tuningprompt engineeringtechnology systemevaluation system |
| spellingShingle | Xiaohong Chen Liu Liu Yige Yuan Junpu Wang Dayuan Li Jianhua Qiu Technology and Application Development of Medical Foundation Model 中国工程科学 medical foundation model multimodal data pre-training and fine-tuning prompt engineering technology system evaluation system |
| title | Technology and Application Development of Medical Foundation Model |
| title_full | Technology and Application Development of Medical Foundation Model |
| title_fullStr | Technology and Application Development of Medical Foundation Model |
| title_full_unstemmed | Technology and Application Development of Medical Foundation Model |
| title_short | Technology and Application Development of Medical Foundation Model |
| title_sort | technology and application development of medical foundation model |
| topic | medical foundation model multimodal data pre-training and fine-tuning prompt engineering technology system evaluation system |
| url | https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.07.020 |
| work_keys_str_mv | AT xiaohongchen technologyandapplicationdevelopmentofmedicalfoundationmodel AT liuliu technologyandapplicationdevelopmentofmedicalfoundationmodel AT yigeyuan technologyandapplicationdevelopmentofmedicalfoundationmodel AT junpuwang technologyandapplicationdevelopmentofmedicalfoundationmodel AT dayuanli technologyandapplicationdevelopmentofmedicalfoundationmodel AT jianhuaqiu technologyandapplicationdevelopmentofmedicalfoundationmodel |