AI-Based Computational Pathology and Its Contribution to Precision Medicine

Series on Language Processing, Pattern Recognition, and Intelligent SystemsFrontiers in Bioimage Informatics Methodology, pp. 167-193 (2024) No AccessChapter 5: AI-Based Computational Pathology and Its Contribution to Precision MedicineHaoda Lu, Longjie Li, Kokhaur Ong, Yufan Wang, Yiping Jiao, Xiangxue Wang, Chengfei Cai, Jing Zhang, Jun Hou, Huanfen Zhao, Hualei Gan, Wanyuan Chen, Xinmi Huo, Lihua Zhang, Weimiao Yu, and Jun XuHaoda LuInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, ChinaBioinformatics Institute, A*STAR, Singapore, Longjie LiBioinformatics Institute, A*STAR, Singapore, Kokhaur OngBioinformatics Institute, A*STAR, Singapore, Yufan WangSchool of Nursing, Midwifery and Social work, Centre for the Business and Economics of Health, The University of Queensland, Brisbane, QLD, Australia, Yiping JiaoInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, China, Xiangxue WangInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, China, Chengfei CaiInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, China, Jing ZhangDepartment of Pathology, Changzheng Hospital, The Second Military Medical University, Shanghai, China, Jun HouDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai, ChinaDepartment of Pathology, Xiamen Branch, Zhongshan Hospital, Fudan University, 361015, Xiamen, Fujian, China, Huanfen ZhaoDepartment of Pathology, Hebei General Hospital, Shijiazhuang, Hebei Province, China, Hualei GanDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China, Wanyuan ChenCancer Center, Department of Pathology, Zhejiang Provincial People's, Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, ChinaKey Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, ChinaClinical Research Center for Cancer of Zhejiang Province, Hangzhou, China, Xinmi HuoBioinformatics Institute, A*STAR, Singapore, Lihua ZhangDepartment of Pathology, Zhongda Hospital, Southeast University, Nanjing, China, Weimiao YuInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, ChinaBioinformatics Institute, A*STAR, SingaporeInstitute of Molecule and Cell Biology, A*STAR, Proteos, Singapore, and Jun XuInstitute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, Chinahttps://doi.org/10.1142/9789811286131_0005Cited by:0 (Source: Crossref) PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: This chapter delves into the transformative role of AI-based computational pathology in enhancing disease diagnosis and prognosis, thereby advancing the field of precision medicine. It tackles the challenges posed by the high workload and inherent human biases in traditional pathological examinations, which remain the cornerstone for diagnosing most diseases. Central to this discussion is the innovative approach that harnesses artificial intelligence, machine learning, and advanced image processing techniques to analyze high-resolution digital whole slide images (WSIs) in pathology. The chapter underscores the feasibility of achieving accurate, efficient, and unbiased diagnoses, as well as the capability to predict disease outcomes more effectively. It further explores how this technological solution can be integrated with the invaluable expertise and experience of pathologists, leading to AI-assisted systems that enhance personalized medical care and tailor treatment plans for individual patients. A thorough review of the concepts and applications of clinical histopathology, digital pathology, and computational pathology is presented in detail. The chapter culminates by emphasizing the significant contributions and value of AI-based computational pathology in the realm of precision medicine. FiguresReferencesRelatedDetails Recommended Frontiers in Bioimage Informatics MethodologyMetrics History PDF download