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Image Acquisition And/Or Optimization Guided By Artificial Intelligence

Page Type
Product Code
Definition
A radiological acquisition and/or optimization guidance system is a device that is intended to aid in the acquisition and/or optimization of images and/or diagnostic signals. The device interfaces with the acquisition system, analyzes its output, and provides guidance and/or feedback to the operator for improving image and/or signal quality.
Physical State
The subject software would utilize images acquired using an imaging system. The software can be installed on an existing imaging system, or can be operated on a computer that is connected to the imaging system.
Technical Method
The device's algorithm would be based on the analysis of images and/or diagnostic data. The underlying algorithms used for providing guidance to the users may be based on deep learning methods, trained on images obtained by trained operators.
Target Area
Human body
Regulation Medical Specialty
Radiology
Review Panel
Radiology
Submission Type
510(K)
Device Classification
Class 2
Regulation Number
892.2100
GMP Exempt?
No
Summary Malfunction Reporting
Ineligible
Implanted Device
No
Life-Sustain/Support Device
No
Third Party Review
Not Third Party Eligible

CFR 892.2100 Radiological acquisition and/or optimization guidance system

892.2100 Radiological acquisition and/or optimization guidance system.

892.2100 Radiological acquisition and/or optimization guidance system.

(a) Identification. A radiological acquisition and/or optimization guidance system is a device that is intended to aid in the acquisition and/or optimization of images and/or diagnostic signals. The device interfaces with the acquisition system, analyzes its output, and provides guidance and/or feedback to the operator for improving image and/or signal quality.

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

(1) Design verification and validation must include:

(i) A detailed, technical device description, including a detailed description of the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, and the associated inputs and outputs.

(ii) A detailed, technical report on the non-clinical performance testing of the subject device in the intended use environments, using relevant consensus standards when applicable.

(iii) A detailed report on the clinical performance testing, obtained from either clinical testing, accepted virtual/physical systems designed to capture clinical variability, comparison to a closely-related device with established clinical performance, or other sources that are justified appropriately. The choice of the method must be justified given the risk of the device and the general acceptance of the test methods. The report must include the following:

(A) A thorough description of the testing protocol(s).

(B) A thorough, quantitative evaluation of the diagnostic utility and quality of images/data acquired, or optimized, using the device.

(C) A thorough, quantitative evaluation of the performance in a representative user population and patient population, under anticipated conditions and environments of use.

(D) A thorough discussion on the generalizability of the clinical performance testing results.

(E) A thorough discussion on use-related risk analysis/human factors data.

(iv) A detailed protocol that describes, in the event of a future change, the level of change in the device technical specifications or indications for use at which the change or changes could significantly affect the safety or effectiveness of the device and the risks posed by these changes. The assessment metrics, acceptance criteria, and analytical methods used for the performance testing of changes that are within the scope of the protocol must be included.

(v) Documentation of an appropriate training program, including instructions on how to acquire and process quality images and video clips, and a report on usability testing demonstrating the effectiveness of that training program on user performance, including acquiring and processing quality images.

(2) The labeling required under § 801.109(c) of this chapter must include:

(i) A detailed description of the device, including information on all required and/or compatible parts.

(ii) A detailed description of the patient population for which the device is indicated for use.

(iii) A detailed description of the intended user population, and the recommended user training.

(iv) Detailed instructions for use, including the information provided in the training program used to meet the requirements of paragraph (b)(1)(iv) of this section.

(v) A warning that the images and data acquired using the device are to be interpreted only by qualified medical professionals.

(vi) A detailed summary of the reports required under paragraphs (b)(1)(ii) and (iii) of this section.

(vii) A statement on upholding the As Low As Reasonably Achievable (ALARA) principle with a discussion on the associated device controls/options.

[90 FR 23285, June 2, 2025]

Image Acquisition And/Or Optimization Guided By Artificial Intelligence

Page Type
Product Code
Definition
A radiological acquisition and/or optimization guidance system is a device that is intended to aid in the acquisition and/or optimization of images and/or diagnostic signals. The device interfaces with the acquisition system, analyzes its output, and provides guidance and/or feedback to the operator for improving image and/or signal quality.
Physical State
The subject software would utilize images acquired using an imaging system. The software can be installed on an existing imaging system, or can be operated on a computer that is connected to the imaging system.
Technical Method
The device's algorithm would be based on the analysis of images and/or diagnostic data. The underlying algorithms used for providing guidance to the users may be based on deep learning methods, trained on images obtained by trained operators.
Target Area
Human body
Regulation Medical Specialty
Radiology
Review Panel
Radiology
Submission Type
510(K)
Device Classification
Class 2
Regulation Number
892.2100
GMP Exempt?
No
Summary Malfunction Reporting
Ineligible
Implanted Device
No
Life-Sustain/Support Device
No
Third Party Review
Not Third Party Eligible

CFR 892.2100 Radiological acquisition and/or optimization guidance system

892.2100 Radiological acquisition and/or optimization guidance system.

892.2100 Radiological acquisition and/or optimization guidance system.

(a) Identification. A radiological acquisition and/or optimization guidance system is a device that is intended to aid in the acquisition and/or optimization of images and/or diagnostic signals. The device interfaces with the acquisition system, analyzes its output, and provides guidance and/or feedback to the operator for improving image and/or signal quality.

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

(1) Design verification and validation must include:

(i) A detailed, technical device description, including a detailed description of the impact of any software and hardware on the device's functions, the associated capabilities and limitations of each part, and the associated inputs and outputs.

(ii) A detailed, technical report on the non-clinical performance testing of the subject device in the intended use environments, using relevant consensus standards when applicable.

(iii) A detailed report on the clinical performance testing, obtained from either clinical testing, accepted virtual/physical systems designed to capture clinical variability, comparison to a closely-related device with established clinical performance, or other sources that are justified appropriately. The choice of the method must be justified given the risk of the device and the general acceptance of the test methods. The report must include the following:

(A) A thorough description of the testing protocol(s).

(B) A thorough, quantitative evaluation of the diagnostic utility and quality of images/data acquired, or optimized, using the device.

(C) A thorough, quantitative evaluation of the performance in a representative user population and patient population, under anticipated conditions and environments of use.

(D) A thorough discussion on the generalizability of the clinical performance testing results.

(E) A thorough discussion on use-related risk analysis/human factors data.

(iv) A detailed protocol that describes, in the event of a future change, the level of change in the device technical specifications or indications for use at which the change or changes could significantly affect the safety or effectiveness of the device and the risks posed by these changes. The assessment metrics, acceptance criteria, and analytical methods used for the performance testing of changes that are within the scope of the protocol must be included.

(v) Documentation of an appropriate training program, including instructions on how to acquire and process quality images and video clips, and a report on usability testing demonstrating the effectiveness of that training program on user performance, including acquiring and processing quality images.

(2) The labeling required under § 801.109(c) of this chapter must include:

(i) A detailed description of the device, including information on all required and/or compatible parts.

(ii) A detailed description of the patient population for which the device is indicated for use.

(iii) A detailed description of the intended user population, and the recommended user training.

(iv) Detailed instructions for use, including the information provided in the training program used to meet the requirements of paragraph (b)(1)(iv) of this section.

(v) A warning that the images and data acquired using the device are to be interpreted only by qualified medical professionals.

(vi) A detailed summary of the reports required under paragraphs (b)(1)(ii) and (iii) of this section.

(vii) A statement on upholding the As Low As Reasonably Achievable (ALARA) principle with a discussion on the associated device controls/options.

[90 FR 23285, June 2, 2025]