AI-Driven
Digital Cytology:
Cancer Cells Have Nowhere to Hide
Digital Cytology:
Cancer Cells Have Nowhere to Hide
Quantitative and qualitative data from our AI-powered computational platform enhances cytology insights to improve workflows and quality of patient care in the battle against cancer.
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Data-Driven Pathology to Benefit All Stakeholders
AIxMed’s digital cytology solutions are as much about enhancing workflow efficiencies as they are about improving patient care and outcomes when battling cancer.
Integrate the AI-powered computational platform from AIxMed to enhance and ease your current cytology workflow
Manual
Qualitative
Qualitative
Slide
Microscope + Pathologist
Initial analysis and cell marking
Pathologist
Final Dx Report
AI-Powered
Quantitative
Qualitative
Quantitative
Qualitative
Slide
Relevant cell characterization
Pathologist
Report in secure cloud
AlxMed
AlxMed
IMPACT
IMPACT
Manual
Automatically identifies suspicious and atypical cells in digital images
FASTER
PATIENT
CARE
PATIENT
CARE
Manual screening of entire cell area to locate abnormal cells in challenging preps
Automation for speed and consistency
Human delays compounded by logistics and workload
Digital marking and records storage of abnormal cells directly into electronic health record (EHR)
Manual marking of abnormal cells or the glass slide with subsequent physical filing
Rapid consultations with whole slide images and software
Physical limitations and delays based on location of pathologist
Quick assessment of digital images showcasing suspicious and abnormal cells
Manual microscopic review of screened and marked glass slide
Consistent quantitative and qualitative data
PATIENT
CARE
Variable findings based on user experience & qualitative only assessments
Adhere to The Paris System (TPS) standards
Individual interpretation of The Paris System
Instant scalability with current personnel
CHEAPER
Volume fluctuations require additional cytologists
Are You Ready to Join the Revolution?
AIxMed’s AI-powered computational platform combines advanced machine learning with computer vision to discover deep insights in cytology samples.
Book A Demo Now