#read

Symposium on artificial intelligence (AI) in medical devices

Date & Time

from
20/11/202410:00 am
until
20/11/202416:45 pm
duration
6hours

Location

place
Haus am Dom
address
Domplatz 3
city
60311, Frankfurt am Main Deutschland

Contact

Last name
Ms. - Helena Däsch
VDE Verband der Elektrotechnik Elektronik Informationstechnik e.V.
phone
+49698306876
email

At our 4th Symposium „Artificial Intelligence (AI) in Medical Devices“ in Frankfurt/Main, we will once again address current topics and challenges 

The European Artificial Intelligence Act (AIA) will soon come into force and will increase the legal requirements for AI-based medical devices such as RAin Dr Zeynep Schreitmüller (Product Law Firm, Augsburg) will explain.  

Clinical trials are the most important source of clinical data, especially for novel medical devices, which are analysed as part of the clinical evaluation. Our speakers Dr Gabriele Feldmann and Dr Kirsten Dahm (AMS Advanced Medical Services GmbH, Mannheim) will report on their experiences with medical device software and AI from the perspective of a CRO.

From the perspective of international regulators such as the EU, FDA, MHRA and Health Canada, Post-Market Surveillance (PMS) is an essential prerequisite for safe and efficient AI-based medical devices. Corresponding requirements and solutions will be presented by Dr Thorsten Prinz (VDE, Offenbach/Main).

Medical device manufacturers have gained extensive experience in implementing the European Medical Device Regulation (MDR) over the past few years. Further requirements and standards are emerging worldwide in relation to AI technology. Dr Jasmine Schirmer (Carl Zeiss Meditec AG, München) will explain how her company is able to successfully meet the practical implementation of regulatory challenges for AI-based medical devices

In brief, this announcement will also include a section on the last presentation. 

We look forward to welcoming you in Frankfurt/Main!

MEHR


More information

The above texts, or parts thereof, were automatically translated from the original language text using a translation system (DeepL API).
Despite careful machine processing, translation errors cannot be ruled out.

Click here to access the original content