Introduzione

Artificial intelligence applications in the medical device industry are rapidly developing.

Through a comprehensive understanding on current industry expectations, medical device companies who are interested to develop the next state of the art AI driven medical applications can confidently work out the responsibilities and guide their safe development of AI technology for use in healthcare settings.

Participants of this introductory training to the development of AI medical devices will equip themselves with the latest regulations and guidelines to develop artificial intelligence powered health applications.

These will enable them to have a broad overview to kick start the initial planning phases of developing AI medical devices.

  • Basic introduction to the concepts of machine learning, deep learning, and convolutional neural networks
  • AI medical devices and their key differences to traditional medical device software
  • Possible applications of AI-based software solutions in the healthcare system
  • International standards and guidances for developing an AI medical device
  • Risk classifications of AI medical devices, including the IMDRF framework
  • Challenges of verification and validation of AI medical devices
  • Clinical performance testing of AI medical devices

Medical device companies who are interested to develop AI applications and need an introduction to the topic.

The mode of training shall mainly be lectures and discussion on the materials prepared. There will be some case studies for hands-on learning of the materials.

Docente/i
Katharina Friedrich
Info

Katharina Friedrich

MD – Freelance Medical Writing Consultant

Katharina Friedrich is a medical writer with experience in MDR regulatory writing. She is based in Heidelberg, Germany and works as a Freelance Medical Writing Consultant with focus on orthopedic and cardiovascular devices. She prepares Clinical Evaluation Plans and Reports, PMCF Plans and Reports and SSCPs in compliance with MDR 2017/745 for class I to class III devices. She also supports development projects and the conduction of PMCF activities. As medical doctor she has experience in the field of orthopedic and trauma surgery.


Online Training – 2 modules

Module 1 | 28 October 2024 from 01:30 pm to 04:30 pm CET
Module 2 | 29 October 2024 from 01:30 pm to 04:30 pm CET

The course admits maximum 12 attendees

After the registration, you will receive all details about the connection.

The course will proceed with a minimum number of participants. Should this number not be reached the registered participants will be notified one week prior to the commencement of the course.

Early Bird: € 680,00* (until 07 October 2024)

Ordinary: € 875,00*

Freelance – Individual – Academy – Public Administration**: € 445,00*

* for Italian companies: +22% VAT

** Early Bird discount not applicable to Freelance – Individual – Academy – Public Administration fee

The fee includes: tuition, organizational office assistance, teaching materials and attendance certificate that will be sent after the training via e-mail.

Registrati
Early bird
Acquistabile fino al 07/10/2024
680,00
Ordinaria
Acquistabile fino al 27/10/2024
875,00
Freelance - Privato - Accademia - Pubblica Amministrazione
Acquistabile fino al 27/10/2024
445,00
Svuota

Versione Stampabile
Cosa saprai fare dopo il corso
Risultato atteso
Appreciate current regulations on medical device software
Risultato atteso
Understand the gap between traditional medical device software and AI powered solutions
Risultato atteso
Equip your AI development team with relevant industry standards and expectations

<p><span>Online interactive training on Zoom platform. </span></p>
<p><em>LS Academy will provide the access link to the virtual platform a few days before the training.</em></p>

Online interactive training on Zoom platform. 

LS Academy will provide the access link to the virtual platform a few days before the training.

<p><span>Online interactive training on Zoom platform. </span></p>
<p><em>LS Academy will provide the access link to the virtual platform a few days before the training.</em></p>