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LEADER IN PULMONARY IMAGING AND
AI-ASSISTED DIAGNOSIS
Electrical Impedance Tomography
Empower Digital Transformation In Healthcare
Advancing Precision
Medicine
Analyzing large amounts of medical data, including case records, imaging images, and laboratory results, assists doctors in making diagnoses. Algorithms can quickly process this information to provide accurate diagnostic results, helping to reduce the risk of misdiagnosis and improve diagnostic accuracy and efficiency.
Enhanced
Interpretation
Lung image reconstruction technology can assist doctors in interpreting and analyzing medical images through image processing, pattern recognition and machine learning techniques. It can provide more accurate and comprehensive results to help doctors find potential lesions, abnormalities and features, and improve diagnostic accuracy and efficiency.
Accelerating
Diagnosis
AI algorithms can automatically process large amounts of imaging data to provide rapid initial analysis and screening results. This can help speed up diagnosis and reduce the workload on physicians, especially when faced with large-scale screening or complex cases.Intelligent decision
support
Up-to-date treatment options and decision support are available based on extensive medical literature and clinical guidelines. Doctors can use assisted diagnosis tools to obtain condition-specific treatment recommendations and customize treatment plans based on individual patient characteristics.
Personalized treatment
customization
Our self-developed technology solutions utilize individual patient data and characteristics to provide personalized treatment plans. By analyzing a large amount of patient data and clinical research results, we help physicians predict how patients will respond to specific treatments and personalize the treatment plan according to patient characteristics to improve treatment outcomes.
Full-cycle Lung Function Monitoring Solution
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hr@
Time
(UTC+8) 9:00am-18:30
3rd Floor, Building 2, Blue Science and Technology Park, Dachanwan, Bao'an District, Shenzhen, China
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