<center id="ekyya"></center><center id="ekyya"></center><optgroup id="ekyya"><div id="ekyya"></div></optgroup><center id="ekyya"><wbr id="ekyya"></wbr></center>
<center id="ekyya"></center><noscript id="ekyya"></noscript>
<center id="ekyya"></center><center id="ekyya"></center>
<optgroup id="ekyya"><div id="ekyya"></div></optgroup><optgroup id="ekyya"></optgroup>
<code id="ekyya"><small id="ekyya"></small></code>
<center id="ekyya"></center>

With technological innovation, everyone can enjoy better healthcare service

care.ai®AI-Healthcare Total Solutions

  • Medical Big Data Intelligence
  • Clinical Intelligent Decision
  • Intelligent Internet Medical Platform

care.ai® Specific Disease Clinics and Research Intelligent Solution

Based on proprietary medical knowledge map, intelligent disease database can be constructed through deep mining, extraction and structurization of data with artificial intelligence.
With Yitu Healthcare’s intelligent disease database, “AI + big data” research platform, regional key research data center, and intelligent assisted diagnosis system and other solutions are available to facilitate clinics, teaching, research, and management.

care.aiTM 兒童生長發育智能診斷系統

care.ai® Intelligent Integrated Solution for Child Growth and Development Evaluation

Yitu’s care.ai? Intelligent Integrated Solution for Child Growth and Development Evaluation is an industry-leading solution that combines artificial intelligence technology and hardware device. The solution thoroughly integrates the ultra-low dose X-ray full-shield bone filming machine with the AI system for growth and development evaluation, optimizing and accelerating the entire evaluation process. With its ultra low-dose characteristics, the solution further eliminates the need for a shielded room and minimizes the radiation risk for children. Through these means, the solution is able to facilitate early screening of childhood diseases, empower grassroots diagnosis and treatment, and foster care for the health of children.

Efficiency improvement with software and hardware integrated design
  • Filming-reading–report, one-stop high-efficient AI solution(<5 mins);
  • High consistency between the evaluation results of AI system and those of senior physicians (≈0.3 year).
Protecting both children and doctors with ultra-low radiation
  • 70%-80% reduction in radiation exposure compared with traditional DR devices;
  • Scattering elimination with 360° full-shielding design, no need for extra shielded enclosure.
Innovative functions to further satisfy clinical needs
  • Hand positioning is video-monitored and can be guided and adjusted timely for better image quality;
  • Cute and friendly appearance design for better children compliance.

care.ai® Intelligent 4D Imaging System for Chest CT

Based on 3D RetinaNet and other algorithms and patented technologies, whole-chest multi-task intelligent diagnosis can be achieved with the AI-assisted diagnostic system for chest CT developed by Yitu Healthcare. The system can identify most of the common lesions in lung, such as nodules, masses, patches, stripes, cystic shadows, etc., followed by quantified intelligent analysis and diagnosis; meanwhile, mediastinal and pleural lesions can be identified to provide imaging evidences for clinical staging of malignant lesions. The intelligent 4D technology adds accurate time dimension on 3D images, and provides more abundant decision-making information for clinical imaging diagnosis.


care.ai® Intelligent Multidisciplinary Diagnosis System for Lung Cancer

Based on deep learning and NLP technologies, the system can create a disease risk prediction model according to genetic factors, living habits and environmental risks. It can integrate the test and examination results from clinical medical records, multimodality imaging, tumor markers and genetic tests, and generate structured reports. It can perform comprehensive diagnosis on patients with medical guidelines to provide practical and effective diagnostic assistance for doctors.

care.aiTM 乳腺X線智能診斷系統

care.ai® Intelligent Diagnosis System for Mammography

Based on computer vision and deep convolution neural network technologies, standardized gland classification, intelligent lesion detection, and full-characteristic recognition of masses, asymmetries, calcifications and structural distortions can be performed automatically; lesions can be graded accurately according to BI-RADS standard, and structured report can be generated, which provides a one-stop high-efficient AI solution for mammography.

care.aiTM 乳腺超聲智能診斷系統

care.ai® Intelligent Diagnosis System for Breast Ultrasound

Based on 3D imaging reconstruction and volume registration algorithm, the system can perform intelligent detection and classification on mammary glands, detect and identify lesions. The lesions are automatically graded and diagnosed according to the BI-RADS standard. Structured reports are generated based on clinical guidelines. The system can dramatically improve doctors’ efficiency and quality of image reading and diagnosis, and reduce the risks of missed diagnosis and misdiagnosis for breast ultrasound.

care.aiTM 兒童生長發育智能診斷系統

care.ai® Intelligent Diagnosis System for Child Growth and Development

With Yitu’s proprietary and well optimized AI model, the system uses the BonNet? intelligent anatomical locating engine and 3 main-stream bone age standards, including TW3, GP Method or CHINA 05, to provide accurate bone age evaluation result in 1 second. Customized structured report of comprehensive growth and development based on physiological and biochemical indicators is generated to bring great convenience to clinical diagnosis and treatment, teaching and scientific research in pediatrics.

care.aiTM 兒科就診流程智能解決方案

care.ai® Intelligent Solution for Pediatric Treatment Process

Based on NLP technology, the system applies in structurizing medical records, disease consultation, disease prediction, critical disease identification, and some other scenario models. It can provide a series of assistant tools, such as AI guidance, AI pre-inquiry, AI clinical decision support, AI follow-up, etc., to establish a total AI solution which covers process before, during and after clinic, optimizes the outpatient process and serves patients, doctors and hospitals.

care.aiTM 卒中多學科智能決策支持系統

care.ai® Intelligent Multidisciplinary Decision Support System for Stroke

Based on computer vision and deep convolutional neutral network technologies, the system can intelligently detect acute ischemic lesions in brain CT/DWI-MR multimodality imaging, determine their locations, characters, quantify imaging indicators, locate offending blood vessels and provide assistant clinical decisions based on clinical information. It can automatically perform imaging evaluation in seconds, which was originally demanding for healthcare providers. It can also assist doctors for accurate evaluation of treatment risks, thus enabling patients to access immediate and optimal treatment.

care.aiTM 甲狀腺超聲智能診斷系統

care.ai® Intelligent Diagnosis System for Thyroid Ultrasound

Based on computer vision and deep learning technologies, the system can perform automatic delineation of lesions in thyroid ultrasound imaging, identify lesions as diffusive or local, cystic or solid, single or multiple. It can also intelligently grade the lesions and generate structured reports, which will dramatically improve doctors’ efficiency and quality of image reading.

care.aiTM 智能多模態影像質控系統

care.ai® Intelligent Multi-modality Imaging Quality Control System

Based on deep convolutional neural network and multiple optimization technologies, the system can conduct intelligent quality evaluation on multimodality imaging data, calculate quality control score in seconds, and support real-time statistical analysis of quality control results. It will dramatically improve the operation and management efficiency of hospital and radiology department by networking, automation and standardization of medical imaging quality control.

care.ai® Intelligent Internet Medical Platform

Based on medical record data and evidence-based database, the Intelligent Internet medical platform utilizes core AI technologies and diagnosis and treatment modules to assist in the construction of intelligent hospital. Total solution covering the whole clinical workflow are provided for outpatient optimization, standardized triage, clinical decision support and efficient allocation of medical resources, so as to improve the subject development and revenue of central hospitals, to enhance the medical service capability of primary institutions, and to facilitate the establishment of feasible model for tiered diagnosis and treatment.

Intelligent pre-diagnosis
  • Accurate recommendation of the best clinical path
  • Sequential inquires as medical experts
  • Intelligent generation of electronic medical records
Intelligent triage
  • Intelligent evaluation of pathogenic condition
  • Reasonable distribution of medical services
Intelligent assisted diagnosis
  • Highly precise diagnosis decision, promotion of higher diagnosis efficiency
  • Real-time intelligent inquiry, optimization of diagnosis and treatment regimens

Application Scenarios

Providing Omni-scenario Intelligent solutions and Defining the Future of Healthcare with Technology

Industry Applications

AI is improving the medical productivity and expanding the healthcare frontiers

YITU jointly publishes key scientific research findings in Nature Medicine with Guangzhou Women and Children's Medical Center

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.


YITU formulates "AI Map of Cancer Screening" in support of Plan of Healthy China 2030

Yitu 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.


Yitu Healthcare enters strategic partnership with iKang to promote the "AI+" age of national healthcare management

Yitu 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.


Yitu Healthcare works with West China Hospital to build the AI research database of lung cancer in China

Yitu 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.


Business Consulting

By clicking on "Submit", you confirm to have read and agreed on the Privacy Policy and Legal Statement of YITU

Enter the characters shown in the image.


YITU welcomes new partners
to explore the promising future of AI together

If you are already a partner of YITU, pleaselogin via the partner portal


Become a partner

Enter the characters shown in the image.

Leave a message

By clicking on "Submit", you confirm to have read and agreed on the Privacy Policy and Legal Statement of YITU

Enter the characters shown in the image.