(72 days)
Rapid ICH (K221456)
Not Found
Yes
The "Device Description" section explicitly states, "The Rapid SDH module is an Al/ML module." and the "Intended Use" section mentions it uses an "artificial intelligence algorithm".
No.
The device is a computer-aided triage and notification software intended to assist trained radiologists in workflow triage, not to provide therapy.
No
The "Intended Use / Indications for Use" section explicitly states, "The user is presented with notifications for cases with suspected hemispheric SDH findings include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device."
Yes
The device is explicitly described as a "radiological computer-assisted triage and notification software device" and an "Al/ML module" that operates within a platform providing "basic services." There is no mention of accompanying hardware components that are part of the regulated device itself.
Based on the provided information, this device is not an IVD (In Vitro Diagnostic).
Here's why:
- Intended Use: The intended use explicitly states that the device is a "radiological computer aided triage and notification software" and is "intended to assist trained radiologists in workflow triage". It also clearly states that the device "does not alter the original medical image and is not intended to be used as a diagnostic device."
- Function: The device analyzes medical images (head CT scans) to identify suspected findings (hemispheric SDH) and provides notifications for workflow prioritization. It does not perform tests on biological samples or provide a definitive diagnosis.
- Output: The output is a notification and compressed preview images for informational purposes, not for diagnostic use.
- Role in Clinical Decision Making: The results are intended to be used in conjunction with other patient information and professional judgment to assist with triage/prioritization, not as a standalone diagnostic tool.
IVD devices are typically used to examine specimens derived from the human body (like blood, urine, tissue) to provide information for diagnosis, monitoring, or treatment. This device operates on medical images, which falls under the category of medical imaging software, not IVD.
No
The provided text does not contain any explicit statement that the FDA has reviewed, approved, or cleared a Predetermined Change Control Plan (PCCP) for this specific device.
Intended Use / Indications for Use
Rapid SDH is a radiological computer aided triage and notification software indicated for use in the triage and notification of hemispheric SDH in non-enhanced head images. The device is intended to assist trained radiologists in workflow triage by providing notification of suspected findings of hemispheric Subdural Hemorrhage (SDH) in head CT images. Rapid SDH uses an artificial intelligence algorithm to analyze images and highlight cases with suspected hemispheric SDH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected hemispheric SDH findings include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
The results of Rapid SDH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage/prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Product codes (comma separated list FDA assigned to the subject device)
OAS
Device Description
Rapid SDH is a radiological computer-assisted triage and notification software device. The Rapid SDH module is a Non-Contrast Computed Tomography (NCCT) processing module which operates within the integrated Rapid Platform to provide triage and notification of suspected hemispheric sub-dural hemorrhage (SDH). The Rapid SDH module is an AI/ML module. The output of the module is a priority notification to clinicians indicating the suspicion of SDH based on positive findings. The Rapid SDH module uses the basic services supplied by the Rapid Platform including DICOM processing, job management, imaging module execution and imaging output including the notification and compressed image.
Mentions image processing
Yes
Mentions AI, DNN, or ML
Yes
Input Imaging Modality
non-enhanced head images (NCCT)
Anatomical Site
Head
Indicated Patient Age Range
21 years old
Intended User / Care Setting
Trained radiologists / hospital networks, server or standalone desktop application
Description of the training set, sample size, data source, and annotation protocol
Not Found
Description of the test set, sample size, data source, and annotation protocol
retrospective, blinded, multinational study with 310 samples (147 positives and 163 negatives). Truth was established using three (3) expert neuro-radiologists.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
iSchemaView conducted a retrospective, blinded, multinational study with Rapid SDH with the primary endpoint to evaluate the software's performance in identifying CT scans containing sub-dural intracranial hemorrhage (SDH).
Sample size: 310 samples (147 positives and 163 negatives).
AUC: 0.995 (0.986, 1.0)
The primary endpoint of the study was to exceed 80% performance goal. Sensitivity (Se) was measured at Se: 0.924 (95% CI: 0.871 - 0.956) and Sp: 0.987 (95% CI: 95477 - 0.996).
Processing time secondary endpoint: median processing time to notify the clinician of 45 seconds with min of 33 seconds and maximum of 107 seconds.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Sensitivity (Se): 0.924 (95% CI: 0.871 - 0.956)
Specificity (Sp): 0.987 (95% CI: 95477 - 0.996)
AUC: 0.995 (0.986, 1.0)
Predicate Device(s): If the device was cleared using the 510(k) pathway, identify the Predicate Device(s) K/DEN number used to claim substantial equivalence and list them here in a comma separated list exactly as they appear in the text. List the primary predicate first in the list.
Rapid ICH (K221456)
Reference Device(s): Identify the Reference Device(s) K/DEN number and list them here in a comma separated list exactly as they appear in the text.
Not Found
Predetermined Change Control Plan (PCCP) - All Relevant Information for the subject device only (e.g. presence / absence, what scope was granted / cleared under the PCCP, any restrictions, etc).
Not Found
§ 892.2080 Radiological computer aided triage and notification software.
(a)
Identification. Radiological computer aided triage and notification software is an image processing prescription device intended to aid in prioritization and triage of radiological medical images. The device notifies a designated list of clinicians of the availability of time sensitive radiological medical images for review based on computer aided image analysis of those images performed by the device. The device does not mark, highlight, or direct users' attention to a specific location in the original image. The device does not remove cases from a reading queue. The device operates in parallel with the standard of care, which remains the default option for all cases.(b)
Classification. Class II (special controls). The special controls for this device are:(1) Design verification and validation must include:
(i) A detailed description of the notification and triage algorithms and all underlying image analysis algorithms including, but not limited to, a detailed description of the algorithm inputs and outputs, each major component or block, how the algorithm affects or relates to clinical practice or patient care, and any algorithm limitations.
(ii) A detailed description of pre-specified performance testing protocols and dataset(s) used to assess whether the device will provide effective triage (
e.g., improved time to review of prioritized images for pre-specified clinicians).(iii) Results from performance testing that demonstrate that the device will provide effective triage. The performance assessment must be based on an appropriate measure to estimate the clinical effectiveness. The test dataset must contain sufficient numbers of cases from important cohorts (
e.g., subsets defined by clinically relevant confounders, effect modifiers, associated diseases, and subsets defined by image acquisition characteristics) such that the performance estimates and confidence intervals for these individual subsets can be characterized with the device for the intended use population and imaging equipment.(iv) Stand-alone performance testing protocols and results of the device.
(v) Appropriate software documentation (
e.g., device hazard analysis; software requirements specification document; software design specification document; traceability analysis; description of verification and validation activities including system level test protocol, pass/fail criteria, and results).(2) Labeling must include the following:
(i) A detailed description of the patient population for which the device is indicated for use;
(ii) A detailed description of the intended user and user training that addresses appropriate use protocols for the device;
(iii) Discussion of warnings, precautions, and limitations must include situations in which the device may fail or may not operate at its expected performance level (
e.g., poor image quality for certain subpopulations), as applicable;(iv) A detailed description of compatible imaging hardware, imaging protocols, and requirements for input images;
(v) Device operating instructions; and
(vi) A detailed summary of the performance testing, including: test methods, dataset characteristics, triage effectiveness (
e.g., improved time to review of prioritized images for pre-specified clinicians), diagnostic accuracy of algorithms informing triage decision, and results with associated statistical uncertainty (e.g., confidence intervals), including a summary of subanalyses on case distributions stratified by relevant confounders, such as lesion and organ characteristics, disease stages, and imaging equipment.
0
Image /page/0/Picture/0 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo in blue, with the words "U.S. FOOD & DRUG ADMINISTRATION" in blue as well. The FDA is a federal agency responsible for regulating and supervising the safety of food, drugs, and other products.
iSchemaView, Inc. Jim Rosa SVP Regulatory and Quality 1120 Washington Ave. Suite 200 Golden, Colorado 80401
October 25, 2023
Re: K232436
Trade/Device Name: Rapid SDH Regulation Number: 21 CFR 892.2080 Regulation Name: Radiological Computer Aided Triage And Notification Software Regulatory Class: Class II Product Code: OAS Dated: October 5, 2023 Received: October 5, 2023
Dear Jim Rosa:
We have reviewed your section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (the Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
1
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30, Design controls; 21 CFR 820.90, Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatory
2
assistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Jessica Lamb
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT 8B: Division of Radiological Imaging Devices and Electronic Products OHT 8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
3
Indications for Use
510(k) Number (if known) K232436
Device Name Rapid SDH
Indications for Use (Describe)
Rapid SDH is a radiological computer aided triage and notification software indicated for use in the triage and notification of hemispheric SDH in non-enhanced head images. The device is intended to assist trained radiologists in workflow triage by providing notification of suspected findings of hemispheric Subdural Hemorrhage (SDH) in head CT images. Rapid SDH uses an artificial intelligence algorithm to analyze images and highlight cases with suspected hemispheric SDH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected hemispheric SDH findings include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
The results of Rapid SDH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage/prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Contraindications/Exclusions/Cautions:
· Rapid SDH is one input to physician diagnosis for patients >21 years old undergoing screening for hemispheric SDH, both acute and chronic.
· Rapid SDH is validated against hemispheric SDH ≥ 1ml.
- Subdural hygroma, subdural empyema, and subdural effusion mimics were not included in the validation data set.
- · Excessive patient motion may lead to artifacts that make the scan technically inadequate.
· For use with non-contrast scans. Presence of intravenous contrast may lead to false positive indication of suspected hemispheric SDH.
• Identification of suspected findings is not for diagnostic use beyond notification. Images that are previewed through email and the mobile application are compressed and are for informational purposes only and not intended for diagnostic use beyond notification.
• Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
CONTINUE ON A SEPARATE PAGE IF NEEDED.
4
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5
510(k) Summary
iSchemaView, Inc.'s Rapid SDH
This document contains the 510(k) summary for the iSchemaView Rapid SDH. The content of this summary is based on the requirements of 21 CFR Section 807.92(c).
Applicant Name and Address:
| Name: | iSchemaView, Inc. |
|---|---|
| Address: | 1120 Washington Ave |
| Ste. 200 | |
| Golden, CO 80401 | |
| Official Contact: | Jim Rosa |
| Phone: (303) 704-3374 | |
| Email: rosa@ischemaview.com |
August 11, 2023 Summary Preparation Date:
Device Name and Classification:
| Trade Name: | Rapid SDH |
|---|---|
| Common Name: | Radiological Computer-Assisted Triage And |
| Notification Software (CADt) | |
| Classification: | II |
| Product Code: | QAS |
| Regulation No: | 21 C.F.R. §892.2080 |
| Classification | |
| Panel: | Radiology Devices |
Predicate Devices:
The iSchemaView Rapid is claimed to be substantially equivalent to the following legally marketed predicate device: Rapid ICH (K221456).
Device Description:
Rapid SDH is a radiological computer-assisted triage and notification software device. The Rapid SDH module is a Non-Contrast Computed Tomography (NCCT) processing module which operates within the integrated Rapid Platform to provide triage and notification of suspected hemispheric sub-dural hemorrhage (SDH). The Rapid SDH module is an Al/ML module. The output of the module is a priority notification to clinicians indicating the suspicion of SDH based on positive findings. The Rapid SDH module uses the basic services supplied by the Rapid Platform including DICOM processing, job management, imaging module execution and imaging output including the notification and compressed image.
6
iSchemaView - Traditional 510(k) Rapid SDH 510(k) Summary
Indications for Use:
Rapid SDH is a radiological computer aided triage and notification software indicated for use in the triage and notification of hemispheric SDH in non-enhanced head images. The device is intended to assist trained radiologists in workflow triage by providing notification of suspected findings of hemispheric Subdural Hemorrhage (SDH) in head CT images.
Rapid SDH uses an artificial intelligence algorithm to analyze images and highlight cases with suspected hemispheric SDH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected hemispheric SDH findings. Notifications include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
The results of Rapid SDH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage/prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Contraindications/Exclusions/Cautions:
- Rapid SDH is one input to physician diagnosis for patients >21 years old undergoing screening for . hemispheric SDH, both acute and chronic.
- . Rapid SDH is validated against hemispheric SDH ≥ 1ml.
- . Subdural hygroma, subdural empyema, and subdural effusion mimics were not included in the validation data set.
- . Excessive patient motion may lead to artifacts that make the scan technically inadequate.
- . For use with non-contrast scans. Presence of intravenous contrast may lead to false positive indication of suspected hemispheric SDH.
- . Identification of suspected findings is not for diagnostic use beyond notification. Images that are previewed through email and the mobile application are compressed and are for informational purposes only and not intended for diagnostic use beyond notification.
- Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer . and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests.
Comparison of Technological Characteristics:
Rapid SDH does not raise new questions of safety or effectiveness compared to the previously cleared predicate, Rapid ICH (K221456). Both devices use machine learning algorithms to determine the presence of intracranial hemorrhage and notify clinicians to the suspicion without removing the case from normal workflow processing. Rapid SDH has a minor difference from Rapid ICH, regarding a singular indication for the hemispheric sub-
7
510(k) Summary
dural hemorrhage (SDH) subtype vs multiple hemorrhage types within the predicate. Based on the comparison the subject device is substantially equivalent to the predicate device. The features are compared in the following table:
| Substantial Equivalence Table | |||
|---|---|---|---|
| Comparison | |||
| Feature | Rapid ICH (K221456) | Rapid SDH | |
| Indications | |||
| for Use | Rapid ICH is a radiological | ||
| computer aided triage and | |||
| notification software indicated for | |||
| use in the analysis of non-enhanced | |||
| head CT images. The device is | |||
| intended to assist hospital networks | |||
| and trained radiologists in | |||
| workflow triage by flagging and | |||
| communication of suspected | |||
| positive findings of pathologies in | |||
| head CT images, namely | |||
| Intracranial Hemorrhage (ICH). |
Rapid ICH uses an artificial
intelligence algorithm to analyze
images and highlight cases with
detected ICH on a standalone
desktop application in parallel to
the ongoing standard of care image
interpretation. The user is
presented with notifications for
cases with suspected ICH findings.
Notifications include compressed
preview images that are meant for
informational purposes only and
not intended for diagnostic use
beyond notification. The device
does not alter the original medical
image and is not intended to be
used as a diagnostic device.
The results of Rapid ICH are
intended to be used in conjunction
with other patient information and
based on professional judgment, to
assist with triage/prioritization of
medical images. Notified clinicians
are responsible for viewing full
images per the standard of care. | Rapid SDH is a radiological
computer aided triage and
notification software indicated for
use in the triage and notification of
hemispheric SDH in non-enhanced
head images. The device is
intended to assist trained
radiologists in workflow triage by
providing notification of suspected
findings of hemispheric Subdural
Hemorrhage (SDH) in head CT
images.
Rapid SDH uses an artificial
intelligence algorithm to analyze
images and highlight cases with
suspected hemispheric SDH on a
server or standalone desktop
application in parallel to the
ongoing standard of care image
interpretation. The user is
presented with notifications for
cases with suspected hemispheric
SDH findings. Notifications
include compressed preview
images, that are meant for
informational purposes only and
not intended for diagnostic use
beyond notification. The device
does not alter the original medical
image and is not intended to be
used as a diagnostic device.
The results of Rapid SDH are
intended to be used in conjunction
with other patient information and
based on professional judgment, to
assist with triage/prioritization of | |
| | | | medical images. Notified
clinicians are responsible for
viewing full images per the
standard of care.
Note: See limitations in IFU
statement above |
| Stroke/Head | Hemorrhagic Stroke/Head | Hemispheric Sub-Dural
Hemorrhage/Head | |
| Removal of
cases from
worklist
queue | No | No | |
| Primary
Imaging
Modalities | NCCT | NCCT | |
| Technical
Implementati
on | ML/AI/Neural Network | ML/AI/Neural Network | |
| Segmentation
of ROI | No, the device does not highlight or
direct a user's attention to a specific
location in the image file. | No, the device does not highlight or
direct a user's attention to a specific
location in the image file. | |
| Preview
Images | Presentation of a preview of the
study for initial assessment not
meant for diagnostic purposes.
The device operates in parallel with
the standard of care, which remains. | Presentation of a preview of the
study for initial assessment not
meant for diagnostic purposes.
The device operates in parallel with
the standard of care, which remains. | |
| Primary
User(s) | Radiologist | Radiologist | |
| Alteration of
original
image data
base | No | No | |
| Alters
Standard of
Care
Workflow | In parallel to | In parallel to | |
| Notification/
Prioritization | Yes - PACS, Workstation | Yes - PACS, Workstation, email,
mobile | |
8
510(k) Summary
9
510(k) Summary
Performance Standards:
Rapid has been developed in conformance with the following standards, as applicable:
| ISO 14971:2019 | Application of Risk Management to Medical Devices |
|---|---|
| IEC 62304:2015 | Medical device software – Software lifecycle processes |
| IEC 62366:2015 | Application of Usability Engineering to Medical Devices |
| NEMA PS 3.1 - 3.20 | Digital Imaging and Communications in Medicine (DICOM) |
Rapid has been designed to meet the cybersecurity requirements using design Vulnerability Assessments, SBOM's, and PEN Testing.
Performance Data:
Rapid complies with DICOM (Digital Imaging and Communications in Medicine) - Developed by the American College of Radiology and the National Electrical Manufacturers Association. NEMA PS 3.1 - 3.20.
iSchemaView conducted a retrospective, blinded, multinational study with Rapid SDH with the primary endpoint to evaluate the software's performance in identifying CT scans containing sub-dural intracranial hemorrhage (SDH). The performance data is derived from 310 samples with 147 positives and 163 negatives. Truth was established using three (3) expert neuro-radiologists.
The primary endpoint of the study was to exceed 80% performance goal. Sensitivity (Se) was measured at Se: 0.924 (95% CI: 0.871 - 0.956) and Sp: 0.987 (95% CI: 95477 - 0.996). The RoC/AUC analysis using Rapid SDH Volume estimate as a predictor of Suspected SDH is AUC: 0.995 (0.986, 1.0):
Image /page/9/Figure/10 description: The image is a plot of sensitivity versus 1-specificity, also known as a receiver operating characteristic (ROC) curve. The x-axis represents 1-specificity or the false positive rate, ranging from 0 to 1.00. The y-axis represents sensitivity or the true positive rate, also ranging from 0 to 1.00. The curve is close to the top left corner, indicating a high level of accuracy.
In addition, a secondary endpoint was to show median processing time to notify the clinician of 45 seconds with min of 33 seconds and maximum of 107 seconds.
10
510(k) Summary
Performance across subtype differentiation shows:
| Gender | Measure | N | Estimate | Lower 95% CI | Upper 95% CI |
|---|---|---|---|---|---|
| Female | Sensitivity | 43 | 0.930 | 0.814 | 0.976 |
| Female | Specificity | 67 | 0.985 | 0.920 | 0.997 |
| Male | Sensitivity | 103 | 0.932 | 0.866 | 0.967 |
| Male | Specificity | 84 | 0.988 | 0.936 | 0.998 |
Performance Metrics by Gender
Performance Metrics by Age Groups
| Age Group | Measure | N | Estimate | Lower 95% CI | Upper 95% CI |
|---|---|---|---|---|---|
| Age ≤ 50 | Sensitivity | 18 | 0.778 | 0.548 | 0.910 |
| Specificity | 26 | 1.000 | 0.871 | 1.000 | |
| 50 |