The value of AI in medical devices is a hot topic on LinkedIn.

Amanda Pedersen

March 15, 2024

2 Min Read
photo illustration of artificial intelligence concept with robotic hand and human hand both pointing to "AI" on a computer chip background
Image credit: FotografieLink / iStock via Getty Images

Why should medical device engineers care about advancements in artificial intelligence (AI)?

"Speaking first-hand as an engineer who had to slog through loads of repetitive, tedious work that often felt far from my aspirations, the power of AI and automation is in unlocking creativity," Dave Evans, co-founder and CEO at Fictiv, said in a recent LinkedIn post. "Problem solving requires creativity. And engineering is full of important problems to be solved."

Fictiv is digitizing manufacturing with what Evans calls the "Dominos Pizza tracker for manufacturing."

"Just about every design engineer I know loves the 'design' aspect of a project, but gets a bit bored with the nuts and bolts (pun possibly intended) engineering details of really turning that design into a fully product and process optimized part," commented Ron Keith, COO at Alveo Technologies. "The history of innovation and automation shows us that it is the most mundane of human activities that tend to be the earliest targets of new technology that augment human capabilities."

Evans agreed and added, "Takes a full team to cross the finish line, and believe more and more technology, and specifically AI, will play a huge role on the squad."

Join the conversation here on LinkedIn.

Sigrid Berge van Rooijen, an AI business consultant at Eir Health, has also proven to be a valuable source to follow on LinkedIn for content around AI in medical devices.

Recently, she shared a list of "20 ways to leverage AI in medical devices."

1. Patient-friendly device interfaces
Employ AI for improved patient engagement

2. Clinical decision support enhancement
Use AI for effective medical decision-making

3. User experience optimization
Employ NLP for improved device usability

4. Data privacy and security
Ensure security when integrating AI features

5. Project management strategies
Navigate AI implementation with effective management

6. Predictive maintenance
Utilize AI for better device reliability

7. Regulatory compliance assurance
Meet standards when integrating AI

8. Personalized medicine
Tailor devices to individual patient needs

9. Remote patient monitoring
Change monitoring with advanced AI analytics

10. User training and adoption
Ensure smooth AI device adoption

Check out this influencer's full list of 20 ways to leverage AI in medical devices in her LinkedIn post, and give her a follow for more expertise related to AI in medtech/healthcare.

About the Author(s)

Amanda Pedersen

Amanda Pedersen is a veteran journalist and award-winning columnist with a passion for helping medical device professionals connect the dots between the medtech news of the day and the bigger picture. She has been covering the medtech industry since 2006.

Sign up for the QMED & MD+DI Daily newsletter.

You May Also Like