FDA 510(k) Clearance: Utilising Artificial Intelligence
- by Zener Engineering Services Ltd
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- 18 Aug, 2022
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Artificial Intelligence In Life Sciences
While acknowledging the above benefits of AI in Medical Devices, regulatory and data security challenges are a major concern.
Artificial Intelligence: An Overview
Artificial Intelligence (AI) is a term applied to technology that sets out to simulate human actions or thought processes undertaken by our brains, which lead to decisions being made, whilst potentially learning from previous events and / or mistakes. Medical devices utilising AI, could, for example:
- Perform patient tasks normally undertaken by a doctor or health professional
- Collect and analyse large amounts of data from different sources (including patient data) to identify indicated trends
- Diagnose medical conditions or disease via sensors worn by the patient
- Identify patients who have an increased risk for disease
- Identify patients who may have complications or the potential for negative outcomes following certain treatments based on the patients' own medical records
- Monitor and analyse patient treatment plans for efficacy and suitability of patient outcomes
The Current Focus of AI in Medical Devices
At the time of writing, Medical Devices utilising AI seem to be currently focused on three main areas of patient care. These are:
- Networked Medical Device Systems: Networked wireless remote medical devices used by healthcare professionals to manage data, keeping patients informed of their condition. These systems reduce costs due to their capability of remotely monitoring patients at home, allowing for a more effective and efficient treatment plan to be administered.
- Disease Management: Medical Devices utilising AI have a capability of administering treatment plans as required by the patient. For example, AI has the potential to deliver drugs following a high blood pressure reading.
- X-Ray Replacement: Medical Devices which utilise AI have the potential to replace x-rays which will reduce the exposure level to radiation by the patient. AI seeks to improve the quality of the image provided, which in turn will provide better information for the doctor.
Zener Engineering Services Ltd AI Case Study
The ZES FDA experienced consultant provided expert advice and support in three main areas of concern:
Medical Device Cyber Security
- Risk Management
- Assessment of Assets, Risks, Threats, Vulnerabilities and Controls
- Software Validation and Best Practice
- Software Encryption
- Security patches and validated software updates during device lifecycle
- Determination of controls for implementation to assure software maintains integrity at source and end user
Medical Device Cleaning
- Medical Device Self-Cleaning Rationale and Validation
- Patient Cleaning Rationale and Validation
Medical Device Performance Testing
- Validation Documentation and streamlined approaches
- The validation ‘V’ mode
which ZES decided to quote as a Testimonial on the ZES website.