F.A.Q
Frequently Asked Questions
Our system leverages advanced deep learning models for automated liver imaging analysis. By integrating imaging, pathology, and genomic data, we provide doctors with comprehensive disease assessments and precise treatment recommendations, including tailored targeted therapy options, efficacy predictions, and prognosis evaluations.
Our solution automatically analyzes liver imaging data to detect early signs of cancer and combines these insights with pathology and genomic information to deliver a comprehensive diagnostic evaluation. Ongoing multi-center clinical validations demonstrate its high accuracy and reliability in early liver cancer detection.
In addition to targeted drug recommendations, efficacy predictions, and prognosis evaluations, our system offers similar-patient search capabilities. By analyzing historical treatment outcomes of comparable cases, we provide valuable references for doctors to design more precise and effective treatment plans.
Our solution is undergoing multi-center clinical validation, and preliminary results indicate its strong performance in real-world clinical scenarios. These validations ensure our technology’s safety, reliability, and effectiveness across diverse healthcare environments.
We strictly adhere to medical industry data security standards, employing multi-layer encryption to safeguard patient privacy. All data processing complies with the Data Security Law and Personal Information Protection Law, ensuring no information is compromised during transmission or storage.
- For doctors: The system reduces the time spent on manual analysis by providing automated imaging analysis, personalized treatment recommendations, and similar-patient search tools, enabling efficient and precise decision-making.
- For patients: Our solution improves early liver cancer detection, tracks treatment responses in real time, and optimizes therapy options, ultimately increasing treatment success rates and offering personalized care for better outcomes.