HHS · no agency ID · record R0959

crYOLO

Department of Health and Human Services · HHS/NIH

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Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2021-01 (month precision)Source: Jan-21
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Automated screening of CryoEM specimens

Expected benefits

This tool is an open-source machine learning-based particle picker (https://cryolo.readthedocs.io/en/stable/). This tool automatically picks targets based on its general model or an adapted model using small number of manually selected particles. It is utilized by the Cryo-EM core in support of research projects within NIEHS DIR and DTT laboratories.

System outputs

Inputs are low magnification cryoEM imaging data and, optionally, manually selected targets; outputs are automatically selected imaging targets.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Not reported
Custom-developed code: No
Public source code: cryolo.readthedocs.io ↗

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Open Source
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: Models were initially trained using publicly available data, further training may be performed using data set being analyzed.
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported