- Transforming the diagnosis and treatment of cancer
- Clinical Precision
- Drug Development
- Global Health
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Tools in diagnosis/treatment process
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Digital & computational pathology
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Data Analytics Consulting
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Chronic Disease Management
AI-driven colonoscopy quality assurance system
For hospital/clinic user:
- Cecal intubation audit system
- Adenoma detection rate audit system
- Automatic output of colonoscopy key quality metrics
- Enhance colonoscopy effectiveness
- Avoid lawsuit by missed cancer
For individual personal user:
- Check whether your own colonoscopy has been completely achieved
- High-security, no installation required, perform on a smartphone
With our Colonoscopy quality assurance system can improve the adenoma detection rate and reduce the Colorectal cancer
- With our Cecal Intubation Rate (CIR) Audit System make colorectal cancer screening more accurate
- reduce colorectal cancer rate by 70% - 90%
- Adenoma Detection Audit System increase ADR - adenoma detection rate
- provide quality metrics
- high security, no installation required, perform on a smartphone
- Save the budget and avoid the lawsuit
Through AI, world-class data, and clinical expertise, we will propel cancer care with more powerful and efficient tools for diagnosis, treatment selection.
At the heart of AI_Qualiscopy are large-scale machine learning algorithms that are trained at petabyte-scale from tens of thousands of digital slides. We are developing novel deep learning algorithms based on convolutional and recurrent neural networks as well as generative models that are able to learn efficiently from an unprecedented wealth of visual and clinical data.
Collaboration with hospitals, Ambulatory surgical centers, academic medical centers, clinical labs
- providing pathologists with new tools that accelerate workflow and improve diagnostic consistency and reduce errors
- deep-learning-based lung nodule detection, malignancy risk assessment,
- offer clinicians tools for Improving cancer detection rates, reducing false positives, and decreasing reading times
- Detection of early-stage colon adenocarcinoma could improve the survival rates and prognosis
Interprofessional collaboration in research, education, and clinical practice
working together for a better future
- statistical analysis of clinical data
- offers an artificial intelligence-powered clinical assistant
- Computer-Aided Virtual Coaching Tool for medical school student
- Machine learning applications in cancer prognosis and prediction
- Studying sensor data To Predict Post-Operative Recovery
- Risk Prediction Models for Hospital Readmission
An end-to-end solution that helps providers deliver comprehensive care, incorporating care coordination, chronic care management, and transitional care management into one platform.
Powered by intelligent machine learning systems, AI_Qualiscopy Care Management automates the care delivery process while also facilitating manual override to set the strategies and priorities as needed.
Integrated Care Management
- Personalizes care and integrates teams
- Automated worklists to support care plans and close gaps in care
- Automated outreach for enhanced engagement with patients
- Quantifiable reports to measure and track the impact of care management activities
