[MainPage Wiki Main Page] [HTTupdates Previous Updates] We are pleased to announce some recent accomplishments of the High-throughput truthing project (HTT). A list of all previous updates can be found [HTTupdates on this page]. Our publications and presentations are organized [https://www.zotero.org/groups/4384613/eedap_studies_presentations_publications_and_studies/library in this Zotero library]. Our data is being shared [https://github.com/DIDSR/HTT in this GitHub repository.] The HTT project’s '''objective''' is to create a validation dataset fit for a regulatory purpose. Pursuing this objective is expected to inform regulatory frameworks and be instructive to others to develop their own validation datasets. For more detailed information about the project and/or to register as a pathologist-data-collector, please visit [https://ncihub.org/groups/eedapstudies/]. The HTT project has been accepted as a project of the Truthing and Validation Workgroup of '''PIcc'''. * PIcc is The Pathology Innovation Collaborative Community. * PIcc is pronounced "Pie" CC. * [https://www.digitalpathologyalliance.org/truthing-validation Link to the Truthing and Validation workgroup.] * [https://www.fda.gov/about-fda/cdrh-strategic-priorities-and-updates/collaborative-communities-addressing-health-care-challenges-together Link to the FDA Collaborative Communities Program.] The HTT project was also accepted as a project of the W.H.O. International Collaboration for Cancer Classification and Research (IC3R). * The IC3R project is named PADEA (Pathologist Annotation Datasets for Evaluating Algorithms) to allow the effort to grow to other applications beyond TILs evaluation. * [https://ic3r.iarc.who.int/projects/ Link to IC3R "Projects" page.] To contact us with any questions or join our efforts: [HTTContacts Contact Us HERE] ---- =Updates= ==== July 2022 ==== * '''Info Sharing''': One day, the public health emergency will be declared over. Here is guidance on what happens to devices that fall within pandemic enforcement policies, like WSI scanners: [https://www.fda.gov/regulatory-information/search-fda-guidance-documents/transition-plan-medical-devices-fall-within-enforcement-policies-issued-during-coronavirus-disease LINK] * Open-Position: ORISE Fellow * Victor Garcia, MD, is transitioning into an FDA/CDRH/DIDSR full-time staff fellow * We therefore have an open ORISE Fellow position for the next year (starting 01 October 2022): Statistics and Informatics Support the Assessment of Artificial Intelligence and Machine Learning * Actively recruiting now - please distribute! [[File(jobDescriptionDigitalPathologyAIML-20220617-2_1.pdf)]] * '''Needed:''' We are looking for an FDA-cleared Scanner. We are targeting the the Aperio AT2 DX because it has a format that is open enough to be supported by several software tools and platforms. * One batch of pivotal study slides are in our hands! * Upcoming Presentations: American Statistical Association's Joint Statistical Meeting * Session: Assessing Agreement and Reader Reliability in Medical Imaging Analysis (organized by Si Wen) * August 7th, 2022 in Washington DC * [https://ww2.amstat.org/meetings/jsm/2022/onlineprogram/ActivityDetails.cfm?SessionID=221988 Link to Session Info] * Brandon will present "Exploring ​Pathologist-Pathologist Agreement​ as a Baseline for ​ Algorithm-Pathologist Agreement​" * Si will present "Limits of Agreement for an MRMC Study" * * We hope to schedule a redux of the session to be hosted by PIcc. * Published: Hongfei Du, Si Wen, Yufei Guo, Fang Jin, and Brandon D. Gallas, “Single reader between-cases AUC estimator with nested data,” Stat Methods Med Res, p. 9622802221111540, Jul. 2022, doi: [https://journals.sagepub.com/doi/10.1177/09622802221111539 10.1177/09622802221111539]. ==== June 2022 ==== * Re-Introduction: Phoebe Qian, ORISE Intern *[https://ncihub.org/groups/httleadership/wiki/AdminCollaboratorPhoebeQian Please see Phoebe's Admin page] * Phoebe is rising high school senior returning for her second summer with us! * Phoebe is hunting for colleges for Fall 2023 with a focus on computer science