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Navigating the Future of Healthcare: Overcoming Key Challenges in AI Medical Device Innovation Passed

Thursday May 16, 2024 09:15 - 09:45 Innovation Area

Lecturers: Alva Rampe, Malin Pfister

Track: Innovation Area

Life science innovations face a new era of development, as Artificial Intelligence (AI) has become the way of exceeding beyond the human limitations of technological development. It is a growing market with immense potential, but a challenging field to navigate. AI has several application areas within Life Science; it can be used for diagnosis, enhanced decision-making, drug discovery, personalized treatments, and patient monitoring, only to mention a few. The number of AI medical devices has increased drastically over the past years and the market is expected to grow with approximately 37% annually. However, this path forward is scattered with numerous challenges that demand careful navigation and innovative solutions, making it imperative for companies to identify and overcome these obstacles to drive effective and transformative innovation.



This presentation is based on a recent empirical study of Nordic companies and organizations, and provides insights on the most common challenges companies face when developing and providing AI medical devices as well as strategies on how to effectively address these challenges.


The session extends a warm welcome to all professionals in the medical devices industry, whether you are already working with AI or see it in the horizon. By the end of the presentation, you will be better equipped to tackle both upcoming and existing challenges in the development of AI medical devices.

Language

English

Topic

Artificial Intelligence and Machine Learning

Seminar type

On site only

Lecture type

Extended 55 min

Objective of lecture

Orientation

Level of knowledge

Introductory

Target audience

Management/decision makers
Organizational development
Technicians/IT/Developers
Researchers
Care professionals
Healthcare professionals

Keyword

Management
Innovation/research
Apps
Usability

Conference

Vitalis

Lecturers

Profile image for Alva Rampe

Alva Rampe Lecturer

Triathlon Group

Alva Rampe is a Management consultant at Triathlon Healthtech, and has been a key contributor to the recent study on challenges and key success factors for innovation of AI medical devices.

Profile image for Malin Pfister

Malin Pfister Lecturer

Managementkonsult
Triathlon Group

Malin Pfister is a Manager at Triathlon HealthTech, a part of Triathlon Group. Malin has several years’ experience in the MedTech industry working with both large industrial clients and small start-up companies to address and implement key strategic initiatives.