Softwares as Medical Devices (SaMD) integrating Artificial Intelligence (AI) are becoming increasingly common in healthcare, which is good news for improving the efficiency of our healthcare system and enhancing patient care.
Currently, the main barrier between healthcare professionals, patients, and these tools is regulatory.
What are the current regulatory requirements for AI-based Software as a Medical Device (SaMD)?
In this article, we offer real-world examples of AI-based Medical Device Software, their classification under MDR 2017/745 or IVDR 2017/746, and guidance on how to achieve compliance.
Among AI-based medical devices, the most common are:
➡️ Classification (a priori): In vitro diagnostic medical device (IVDMD) under IVDR 2017/746, typically risk class C or D.
➡️ Classification (a priori): Medical Device under MDR 2017/745, class IIb.
➡️ Classification (a priori): Medical Device under MDR 2017/745, class IIb.
➡️ Regulatory status (a priori): Considered a Medical Device by HAS under MDR 2017/745, class IIa or IIb.
➡️ Classification (a priori): Medical Device under MDR 2017/745, class I or IIa.
➡️ Classification (a priori): Medical Device under MDR 2017/745, class IIa.
Some AI-based software remains in a borderline area and is not always CE-marked or FDA-approved.
Examples include:
CE marking is mandatory for AI-based Medical Devices when a clinical benefit is claimed.
The evaluation process includes the following steps:
1️⃣ Setting up a Quality Management System (QMS) compliant with ISO 13485 and MDR 2017/745 or IVDR 2017/746.
2️⃣ Compiling a Technical File (TF) demonstrating the safety and performance of the API/module/software, in accordance with European regulatory requirements.
3️⃣ Compliance with the AI Act, with progressive harmonization between the AI Act and MDR 2017/745-IVDR 2017/746
4️⃣ Consult your Notified Body (NB) to determine if they plan to be designated under the AI Act, as none are currently designated.
At Sparta Care, we help you with:
Contact us to learn more!
¹ Source: Benjamens, S., Dhunnoo, P. & Meskó, B. The state of artificial intelligence-based FDA-approved medical devices and algorithms. npj Digit. Med. 3, 118 (2020). https://doi.org/10.1038/s41746-020-00324-0
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