Year 2! High-throughput truthing of microscope slides to validate artificial intelligence algorithms analyzing digital scans of pathology slides: data (images + annotations) as an FDA-qualified medical device development tool (MDDT).

• Notice the title change at the end. If we can “qualify” a data set via FDA/CDRH MDDT program, it will be available to developers to use as their pivotal validation data in a submission to the FDA. That’s the primary aim of year 2.
• Internal funding proposal submitted 10/19/2018. Decisions expected in March 2019
• Link to Full Proposal for year 2 binderFY19_CDRH_CP_Application-GallasHighThroughputTruthingDigiPathPublic.pdf (7 MB, uploaded by Brandon D. Gallas 5 years 6 months ago)

Year 1: High-throughput truthing of microscope slides to validate artificial intelligence algorithms analyzing digital scans of pathology slides: data (images + annotations) as an FDA-qualified medical device development tool (MDDT).

• Project was funded March 2018.
• Link to wiki page for year 1

Created on 21 Nov 2017, Last modified on 23 Oct 2018