Digital Intelligence Pathology Platform and Its Service Pattern
Pathological diagnosis is the cornerstone for clinical diagnosis and treatment decision-making. The digital intelligence pathology platform built by integrating artificial intelligence, big data, and other information technologies has great application values, which will support the digitalization a...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
《中国工程科学》杂志社
2025-04-01
|
| Series: | 中国工程科学 |
| Subjects: | |
| Online Access: | https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.11.024 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850119896916033536 |
|---|---|
| author | Xiaohong Chen Liu Liu Yajua Niu Xiaoliang Liu Xiaohai Li Jianhua Zhou Junpu Wang |
| author_facet | Xiaohong Chen Liu Liu Yajua Niu Xiaoliang Liu Xiaohai Li Jianhua Zhou Junpu Wang |
| author_sort | Xiaohong Chen |
| collection | DOAJ |
| description | Pathological diagnosis is the cornerstone for clinical diagnosis and treatment decision-making. The digital intelligence pathology platform built by integrating artificial intelligence, big data, and other information technologies has great application values, which will support the digitalization and intelligent upgrading of the pathology discipline and expand the Chinese solution of intelligent pathology. This study systematically clarifies the conceptual framework of digital intelligence pathology, identifies practical application requirements, and highlights critical challenges in its implementation. Building on proprietary research achievements, we propose a tripartite middleware architecture comprising data, algorithm, and service platforms. The system architecture integrates standardized data management, AI-driven analytical modules, and interoperable service interfaces to optimize pathological workflows. Key workflow improvements include standardized specimen processing, intelligent diagnostic assistance, and platform-based service integration. Furthermore, the study explores prospective application scenarios for digital intelligence pathology platforms, spanning diagnostic services, multidisciplinary consultations, medical education, scientific research, and quality control. Strategic recommendations are provided to accelerate adoption: establishing policy-guided industry standards, diversifying funding channels, strengthening professional training, advancing technological innovation, and ensuring data security with privacy protection. These measures aim to expedite the integration of digital intelligence pathology into clinical practice and support the evolution of smart healthcare. |
| format | Article |
| id | doaj-art-e66a5633ffad47af90a6073e1c6967ae |
| institution | OA Journals |
| issn | 1009-1742 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | 《中国工程科学》杂志社 |
| record_format | Article |
| series | 中国工程科学 |
| spelling | doaj-art-e66a5633ffad47af90a6073e1c6967ae2025-08-20T02:35:32Zzho《中国工程科学》杂志社中国工程科学1009-17422025-04-0127230431410.15302/J-SSCAE-2024.11.024Digital Intelligence Pathology Platform and Its Service PatternXiaohong Chen0Liu Liu1Yajua Niu2Xiaoliang Liu3Xiaohai Li4Jianhua Zhou5Junpu Wang61. 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, China5. Xiangya Hospital of Central South University, Changsha 410008, China|6. School of Basic Medicine, Central South University, Changsha 410008, 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 Medicine, Central South University, Changsha 410008, China5. Xiangya Hospital of Central South University, Changsha 410008, China|6. School of Basic Medicine, Central South University, Changsha 410008, ChinaPathological diagnosis is the cornerstone for clinical diagnosis and treatment decision-making. The digital intelligence pathology platform built by integrating artificial intelligence, big data, and other information technologies has great application values, which will support the digitalization and intelligent upgrading of the pathology discipline and expand the Chinese solution of intelligent pathology. This study systematically clarifies the conceptual framework of digital intelligence pathology, identifies practical application requirements, and highlights critical challenges in its implementation. Building on proprietary research achievements, we propose a tripartite middleware architecture comprising data, algorithm, and service platforms. The system architecture integrates standardized data management, AI-driven analytical modules, and interoperable service interfaces to optimize pathological workflows. Key workflow improvements include standardized specimen processing, intelligent diagnostic assistance, and platform-based service integration. Furthermore, the study explores prospective application scenarios for digital intelligence pathology platforms, spanning diagnostic services, multidisciplinary consultations, medical education, scientific research, and quality control. Strategic recommendations are provided to accelerate adoption: establishing policy-guided industry standards, diversifying funding channels, strengthening professional training, advancing technological innovation, and ensuring data security with privacy protection. These measures aim to expedite the integration of digital intelligence pathology into clinical practice and support the evolution of smart healthcare.https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.11.024digital intelligence pathologypathological diagnosispathological foundation modelservice patternpathologypathology department |
| spellingShingle | Xiaohong Chen Liu Liu Yajua Niu Xiaoliang Liu Xiaohai Li Jianhua Zhou Junpu Wang Digital Intelligence Pathology Platform and Its Service Pattern 中国工程科学 digital intelligence pathology pathological diagnosis pathological foundation model service pattern pathology pathology department |
| title | Digital Intelligence Pathology Platform and Its Service Pattern |
| title_full | Digital Intelligence Pathology Platform and Its Service Pattern |
| title_fullStr | Digital Intelligence Pathology Platform and Its Service Pattern |
| title_full_unstemmed | Digital Intelligence Pathology Platform and Its Service Pattern |
| title_short | Digital Intelligence Pathology Platform and Its Service Pattern |
| title_sort | digital intelligence pathology platform and its service pattern |
| topic | digital intelligence pathology pathological diagnosis pathological foundation model service pattern pathology pathology department |
| url | https://www.engineering.org.cn/sscae/EN/PDF/10.15302/J-SSCAE-2024.11.024 |
| work_keys_str_mv | AT xiaohongchen digitalintelligencepathologyplatformanditsservicepattern AT liuliu digitalintelligencepathologyplatformanditsservicepattern AT yajuaniu digitalintelligencepathologyplatformanditsservicepattern AT xiaoliangliu digitalintelligencepathologyplatformanditsservicepattern AT xiaohaili digitalintelligencepathologyplatformanditsservicepattern AT jianhuazhou digitalintelligencepathologyplatformanditsservicepattern AT junpuwang digitalintelligencepathologyplatformanditsservicepattern |