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YSB-IAS01 YSENMED Ultrasound Imaging AI Analysis System
Item No.: YSB-IAS01
The accuracy of software nodule judgment is more than 96%, and the accuracy of specificity analysis is 93%, which has been registered and verified by many large third-class hospitals in China.
| Product parameters | |
| Brand: | YSENMED |
| MOQ: | 1 |
| Package: | Carton Package |
| Ship From: | Guangzhou |
| Lead Time: | 3-5 days |
| Customization: | Customized package |
Description
Company Introduction
TenD.AI was founded in 2018, an innovative company aiming to empower medical with AI.
National scientist Professor De’an Ta as Chief Scientist.
Develop AI algorithms and softwares for clinical ultrasound.
Collaborate closely with Fudan University, and with top hospitals in computer science, AI, and ultrasound medical.
Intelligent multi-organ ultrasound diagnostic system for whole body.
Leader in the industry of AI medical imaging and diagnosis.
Ultrasound Imaging AI Analysis System
(1) Thyroid Ultrasound Imaging Analysis Software
(2) Breast Ultrasound Imaging Analysis Software
R&D background：
With the rapid advancement of medical technology, ultrasound imaging, as a non-invasive and real-time diagnostic method, is playing an increasingly important role in clinical diagnosis and treatment. However, traditional ultrasound imaging analysis relies heavily on the experience and expertise of medical professionals, which is subject to human factors and may lead to uncertainties and errors. In order to improve the accuracy and efficiency of ultrasound imaging analysis, intelligent ultrasound imaging analysis systems have been developed.
One-Stop Ultrasound AI Solution
Auto mode switch among organs: The thyroid mammary gland can be automatically recognized, and the analysis area can be automatically switched within 2 seconds
Real-time analysis on video stream: Automatically analyze ultrasound videos and analyze the characteristic results of lesions
Auto rating and AI recommendation: Obtain grading results and handling suggestions for ACR TI-RADS or ACR BI-RADS
Detection Accuracy: 96%, Feature Analysis Accuracy: up to 93%
Real-time Detection：
Automatic Segmentation：
ACR TI-RADS Evaluation：
ACR BI-RADS Evaluation
Expert experience:
Authority: Collaborate with top experts, Transfer experience into algorithm
Consistency: Formulate labeling & QC standard, Avoid inter/intra-observer variability
Massive Data:
Legal: Clinical & Ethical Agreements Signed
Quantity:5 Million+ images，150K+ videos in storage
TenD.AI was founded in 2018, an innovative company aiming to empower medical with AI.
National scientist Professor De’an Ta as Chief Scientist.
Develop AI algorithms and softwares for clinical ultrasound.
Collaborate closely with Fudan University, and with top hospitals in computer science, AI, and ultrasound medical.
Intelligent multi-organ ultrasound diagnostic system for whole body.
Leader in the industry of AI medical imaging and diagnosis.
Ultrasound Imaging AI Analysis System
(1) Thyroid Ultrasound Imaging Analysis Software
(2) Breast Ultrasound Imaging Analysis Software
R&D background：
With the rapid advancement of medical technology, ultrasound imaging, as a non-invasive and real-time diagnostic method, is playing an increasingly important role in clinical diagnosis and treatment. However, traditional ultrasound imaging analysis relies heavily on the experience and expertise of medical professionals, which is subject to human factors and may lead to uncertainties and errors. In order to improve the accuracy and efficiency of ultrasound imaging analysis, intelligent ultrasound imaging analysis systems have been developed.
One-Stop Ultrasound AI Solution
Auto mode switch among organs: The thyroid mammary gland can be automatically recognized, and the analysis area can be automatically switched within 2 seconds
Real-time analysis on video stream: Automatically analyze ultrasound videos and analyze the characteristic results of lesions
Auto rating and AI recommendation: Obtain grading results and handling suggestions for ACR TI-RADS or ACR BI-RADS
Detection Accuracy: 96%, Feature Analysis Accuracy: up to 93%
Real-time Detection：
Automatic Segmentation：
ACR TI-RADS Evaluation：
ACR BI-RADS Evaluation
Expert experience:
Authority: Collaborate with top experts, Transfer experience into algorithm
Consistency: Formulate labeling & QC standard, Avoid inter/intra-observer variability
Massive Data:
Legal: Clinical & Ethical Agreements Signed
Quantity:5 Million+ images，150K+ videos in storage
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