We are pleased to announce some recent accomplishments of the High-throughput truthing project (HTT).
A list of all previous updates can be found on this page. Our publications and presentations are organized in this Zotero library. Our data is being shared 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.
- Link to the Truthing and Validation workgroup.
- 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.
- Link to IC3R “Projects” page.
To contact us with any questions or join our efforts: Contact Us HERE
Updates
July 2022
- 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! jobDescriptionDigitalPathologyAIML-20220617-2_1.pdf (106 KB, uploaded by Katherine N Elfer 1 year 9 months ago)
- Needed: We are looking for an FDA-Approved Scanner: Aperio AT2 DX
- Pivotal study slides are in our hands!
- 58 slides from Stony Brook Medicine. Waiting on WSIs and clinical Metadata
- 19 slides, WSIs, and clinical metadata from Emory School of Medicine with more in preparation
- 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: LINK
- 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
- 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”
* 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: 10.1177/09622802221111539.
June 2022
- Re-Introduction: Phoebe Qian, ORISE Intern
- 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
- R01 Submitted: “Development of optical and digital microscopy hardware, software, and statistical methods to enable computational pathology in low resource environments worldwide”
- Grant Writers: Kim Blenman (Yale), Brandon Gallas (FDA), Markus Herrmann (MGH)