Last synced on 20 December 2024 at 11:05 pm

Gastrointesinal Lesion Software Detection System

Page Type
Product Code
Definition
A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.
Physical State
The device is a software, which may contain hardware components for enabling compatibility with endoscopic devices.
Technical Method
The device is a software that uses artificial intelligence/machine learning (AI/ML) advanced algorithms to aid in detection colonic mucosal lesions via endoscopy in real-time.
Target Area
Gastrointestinal tract
Regulation Medical Specialty
Gastroenterology and Urology
Review Panel
Gastroenterology and Urology
Submission Type
510(K)
Device Classification
Class 2
Regulation Number
876.1520
GMP Exempt?
No
Summary Malfunction Reporting
Ineligible
Implanted Device
No
Life-Sustain/Support Device
No
Third Party Review
Not Third Party Eligible

CFR § 876.1520 Gastrointestinal lesion software detection system

§ 876.1520 Gastrointestinal lesion software detection system.

(a) Identification. A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.

(b) Classification. Class II (special controls). The special controls for this device are:

(1) Clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use, including detection of gastrointestinal lesions and evaluation of all adverse events.

(2) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use. Testing must include:

(i) Standalone algorithm performance testing;

(ii) Pixel-level comparison of degradation of image quality due to the device;

(iii) Assessment of video delay due to marker annotation; and

(iv) Assessment of real-time endoscopic video delay due to the device.

(3) Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.

(4) Performance data must demonstrate electromagnetic compatibility and electrical safety, mechanical safety, and thermal safety testing for any hardware components of the device.

(5) Software verification, validation, and hazard analysis must be provided. Software description must include a detailed, technical description including the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, the associated inputs and outputs, mapping of the software architecture, and a description of the video signal pipeline.

(6) Labeling must include:

(i) Instructions for use, including a detailed description of the device and compatibility information;

(ii) Warnings to avoid overreliance on the device, that the device is not intended to be used for diagnosis or characterization of lesions, and that the device does not replace clinical decision making;

(iii) A summary of the clinical performance testing conducted with the device, including detailed definitions of the study endpoints and statistical confidence intervals; and

(iv) A summary of the standalone performance testing and associated statistical analysis.

[88 FR 10, Jan. 3, 2023]

Gastrointesinal Lesion Software Detection System

Page Type
Product Code
Definition
A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.
Physical State
The device is a software, which may contain hardware components for enabling compatibility with endoscopic devices.
Technical Method
The device is a software that uses artificial intelligence/machine learning (AI/ML) advanced algorithms to aid in detection colonic mucosal lesions via endoscopy in real-time.
Target Area
Gastrointestinal tract
Regulation Medical Specialty
Gastroenterology and Urology
Review Panel
Gastroenterology and Urology
Submission Type
510(K)
Device Classification
Class 2
Regulation Number
876.1520
GMP Exempt?
No
Summary Malfunction Reporting
Ineligible
Implanted Device
No
Life-Sustain/Support Device
No
Third Party Review
Not Third Party Eligible

CFR § 876.1520 Gastrointestinal lesion software detection system

§ 876.1520 Gastrointestinal lesion software detection system.

(a) Identification. A gastrointestinal lesion software detection system is a computer-assisted detection device used in conjunction with endoscopy for the detection of abnormal lesions in the gastrointestinal tract. This device with advanced software algorithms brings attention to images to aid in the detection of lesions. The device may contain hardware to support interfacing with an endoscope.

(b) Classification. Class II (special controls). The special controls for this device are:

(1) Clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use, including detection of gastrointestinal lesions and evaluation of all adverse events.

(2) Non-clinical performance testing must demonstrate that the device performs as intended under anticipated conditions of use. Testing must include:

(i) Standalone algorithm performance testing;

(ii) Pixel-level comparison of degradation of image quality due to the device;

(iii) Assessment of video delay due to marker annotation; and

(iv) Assessment of real-time endoscopic video delay due to the device.

(3) Usability assessment must demonstrate that the intended user(s) can safely and correctly use the device.

(4) Performance data must demonstrate electromagnetic compatibility and electrical safety, mechanical safety, and thermal safety testing for any hardware components of the device.

(5) Software verification, validation, and hazard analysis must be provided. Software description must include a detailed, technical description including the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, the associated inputs and outputs, mapping of the software architecture, and a description of the video signal pipeline.

(6) Labeling must include:

(i) Instructions for use, including a detailed description of the device and compatibility information;

(ii) Warnings to avoid overreliance on the device, that the device is not intended to be used for diagnosis or characterization of lesions, and that the device does not replace clinical decision making;

(iii) A summary of the clinical performance testing conducted with the device, including detailed definitions of the study endpoints and statistical confidence intervals; and

(iv) A summary of the standalone performance testing and associated statistical analysis.

[88 FR 10, Jan. 3, 2023]