Landing Med's on-premise AI cervical cytology algorithm provides secure, offline, AI-powered analysis for cervical cytology diagnosis. Utilizing scanned WSIs from the LD Patho 320A or LD Cyto 2200 scanners, our robust AI algorithm, trained on over 10 million samples, autonomously processes and identifies areas of interest, streamlining physicians' workflow and enhancing accuracy in cervical AI cytology interpretation.
By operating entirely offline, our Cyto AISCAN system ensures that all data remains securely on-site, eliminating cloud dependency and safeguarding patient privacy. This robust solution integrates seamlessly into laboratory environments, empowering healthcare providers with efficient, reliable, and secure diagnostic support for AI cervical cancer screening.
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