YITU has performed a joint study with Guangzhou Women and Children's Medical Center on the applications of NLP technologies in pediatric diagnosis, with the research letter being published in Nature Medicine (IF 32.621). This was the first time in the world that research findings of NLP technology on intelligent clinical diagnosis based on text-based Chinese electronic health records (EHR) had been published in a top international medical journal.
HealthcareYitu Healthcare cooperates with hundreds of top medical institutions in China to use AI applications to improve their capabilities in providing medical services and to provide scientific evidence for early screening, diagnosis and treatment against high-risk cancers, scientific research and national public health decision, and to contribute to Plan of Healthy China 2030. YITU's “AI Map of Cancer Screening” for high-risk cancers can reduce the doctors’ workload, eliminate misdiagnosis and missed diagnosis, provide strong technical support for large-scale early screening of diseases, and drive cancer screening in China towards the "AI+" age.
HealthcareYitu Healthcare cooperated with multiple departments of West China Hospital, such as Information Center, Radiology, Pathology, Respiratory Medicine, etc., integrated HIS, LIC, PACS and RIS systems, and created the AI scientific research database of lung cancer, which includes multi-dimensional clinical indicators covering clinical text data, imaging and pathological data.
HealthcareYitu Healthcare has become strategic partner of iKang Healthcare Group and will cooperate substantively in child growth and development monitoring, screening and physical examinations of multiple high-risk cancers. Medical AI application will be expanded into healthcare management, driving the national healthcare management into the “AI+” age.
HealthcareAt the Chinese Society of Radiology academic conference, Prof. Liu Zhengyuan from Shanghai Changzheng Hospital, Prof. Chen Min from Beijing Hospital, Prof. Zhang Minming from the Second Affiliated Hospital of Zhejiang University School of Medicine, Prof. Han Ping from Wuhan Union Hospital, Prof. Wu Jianlin from the Affiliated Zhongshan Hospital of Dalian University, Prof. Gong Xiangyang from Zhejiang Provincial People's Hospital and other top radiologists, as well as the core team at YITU Healthcare, discussed about the establishment of an AI-empowered medical imaging standard.
HealthcareYITU Healthcare signed a memorandum of AI strategic cooperation with the Chinese Society of Imaging Technology and launched medical imaging quality control standard projects across the country. The partnership is to help improve the competency of less-experienced doctors with and increase the diagnostic accuracy rate thanks to the AI assistant diagnostic systems, contributing to the decentralization of medical resources.
HealthcareYITU Healthcare and Zhejiang Provincial People's Hospital jointly founded an AI assistant diagnosis center, which applies YITU Healthcare's intelligent diagnosis system with lung cancer imaging for the early screening of lung cancer. This has greatly eased the workload of doctors and has been reported by multiple well-known domestic and international media outlets.
HealthcareYITU Healthcare and Shanghai Jiaotong University has announced the establishment of a joint research lab. Both sides will cooperate in medical imaging-based diagnosis, pathology analysis, molecular medicine and other fields. They will focus on the application of AI in MDT diagnosis of lung cancer and imaging-based identification of a variety of solid tumors to build a prospective AI imaging-based diagnostic platform for tumors.
HealthcareYITU Healthcare signed an AI strategic cooperation agreement with Children's Hospital of Zhejiang University School of Medicine to jointly build a brand new standard for the bone age assessment for Chinese children. With the implementation and application of YITU's AI assistant bone age diagnosis products, YITU will join hands with China's well-known pediatric hospitals including the Children's Hospital of Zhejiang University School of Medicine, to jointly build a large sample database for normal bone age of children in China and ultimately establish a bone age assessment standard that is efficient, intelligent, accurate and in compliance with contemporary bone age development characteristics of children.
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