Thread regarding Medtronic Inc. layoffs

ai will never disrupt the industry... never

geoff and team seem convinced ai will solve all our problems. maybe if they spent a little more time talking to actual physicians and patients, they’d understand where ai is useful and where it simply isn’t.

ai makes sense for reducing administrative burden. it has a clear future in manufacturing, imaging, workflow optimization, and plenty of other areas. but when a patient needs a catheter to solve an actual clinical problem, an algorithm isn’t replacing the therapy.

the idea that ai is somehow about to "disrupt" every medical device category feels like something you believe when you spend more time in executive meetings than around actual clinical practice. ai will absolutely disrupt a lot of corporate work, including the work of executives who apparently need technological assistance just to read and respond to emails on time.

therapy is different, yep.

getting that distinction wrong can have real consequences for patients. cathworks may ultimately demonstrate that gm paid for an expensive science project, while scientia may prove to be the kind of practical technology that delivers value for years. time will tell, but apparently nuance isn’t nearly as exciting as putting "ai" on a strategy slide.


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| 54 views | | 6 replies (last October 10) | Reply
Post ID: @OP+1m3ta6bxd

6 replies (most recent on top)

Sometimes you gotta go back to actually move forward. This not means going back to nostalgia or chasing ghosts, it’s about going back to see where you came from, where you’ve been, how you got here, see where you’re going.

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Post ID: @1nh+1m3ta6bxd

AI doesn’t have to attend endless meetings to discuss why no progress has been made on a project.

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Post ID: @1jk+1m3ta6bxd

The only way AI is use to disrupt this industry is to find more ways to squeeze more work out of us to juice up profits.

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Post ID: @1j3+1m3ta6bxd

@zw They said their PhD is in AI but perhaps that’s their minor… ?

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Post ID: @1hh+1m3ta6bxd

@vs is your PhD in long posts that no one will read?

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Post ID: @zw+1m3ta6bxd

I am a biomedical engineer working on a PhD in AI. I used to work at Medtronic until they outsourced my job to India. But I still do research at a group affiliated with Mayo (broadly speaking).

I analyzed your post with Google AI. It gave this response:
The Nuanced Reality: AI vs. Hardware
The forum post outlines a fundamental tension inside modern medical device companies:
• Where the poster is right:
• Algorithms cannot physically clear a blocked artery.
• Physicians prioritize tactile, highly reliable catheter tracking.
• Corporate hype often overpromises immediate clinical disruption.
• Where the poster misses the mark:
• Diagnostics dictate physical tool selection during procedures.
• CathWorks eliminates invasive wires to map coronary physiology.
• Software integrations protect market share for physical stents.

Before you post emotionally on a forum, you could check the "nuance" with AI. Most people don't do that, but I expect the trend will start just like with resumes.

As for me, I have worked with machinists directly. One of my best experiences as an engineer was with a machinist at DOE in California. He said the physicists and engineers usually gave him flawed designs that didn't take the machinist's feedback into account. So, he saw a lot of waste.

What AI can do is use a large database of "observations" by a population of such machinists and integrate it into something like Solidwords or Autocad or simulation software to emulate real world problems and add "boundaries". The feedback from such machinists could be rounded up and put into a "digital twin" model with AI.

So, a machinist cannot be replaced by AI, but their raw knowledge from working with the hardware can be aggregated and used to define an "engineering rules engine" to prevent errors in design or simulate errors in a digital twin. That machinist was a great mentor for college interns. It was a hierarchy of "machinists" against physicists and engineers from Stanford, UCLA, Berkeley, Cal Tech, etc. But just as nurses can spot flaws in work by MDs, machinists can spot flaws in the engineering designs too.

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Post ID: @vs+1m3ta6bxd

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