[NCCDPHP] Evaluating Deep
Learning Algorithm Assessment of Digital Photographs for Dental
Public Health Surveillance
New
collection (Request for a new OMB Control Number)
No
Regular
10/19/2023
Requested
Previously Approved
36 Months From Approved
2,006
0
827
0
56,033
0
The purpose of this collection is to
examine the validity and feasibility of using digital photos taken
by non-dental professionals, which in turn would be analyzed by
deep learning algorithms, to assess youth’s oral health status in
lieu of examination by dental professionals.
The total estimated annualized
burden hours are 827 for this request for a new submission.
$170,182
No
No
No
No
No
No
No
Odion Clunis 770 488-0045
lta2@cdc.gov
No
On behalf of this Federal agency, I certify that
the collection of information encompassed by this request complies
with 5 CFR 1320.9 and the related provisions of 5 CFR
1320.8(b)(3).
The following is a summary of the topics, regarding
the proposed collection of information, that the certification
covers:
(i) Why the information is being collected;
(ii) Use of information;
(iii) Burden estimate;
(iv) Nature of response (voluntary, required for a
benefit, or mandatory);
(v) Nature and extent of confidentiality; and
(vi) Need to display currently valid OMB control
number;
If you are unable to certify compliance with any of
these provisions, identify the item by leaving the box unchecked
and explain the reason in the Supporting Statement.