Lewis Black Reviews Digital Pathology Conference

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https://www.discoveriesinhealthpolicy.com/2023/12/ai-corner-ai-reports-on-digital.html

AI in Precision Oncology: 

A Lewis Black-Inspired Rant on the Future of Cancer Care

By [Your Name], Channeling My Inner Lewis Black

Ladies and gentlemen, gather 'round as I regale you with tales from the "Artificial Intelligence in Precision Oncology" conference. Now, don't get too excited—it's not a sci-fi convention. No, it's where a bunch of brainiacs talk about AI in cancer treatment while the rest of us try to figure out how to program our DVRs.

First up, we had Douglas Flora, MD, who, I swear, must have mistaken the podium for a pulpit. He preached the gospel of AI in oncology like it's going to save us all. And, okay, maybe it will. But let's not forget, these are the same people who can't make a printer work reliably!

Then there's Ben Freeberg, discussing AI's application in oncology. He talked about reducing costs and improving outcomes. Great! But when was the last time anything in healthcare got cheaper? I'll believe it when I see it, preferably on a receipt.

Eric Stahlberg, PhD, enters the scene talking about digital twins. Digital twins! We're barely handling the human ones, and now we've got virtual doppelgangers running around in the digital world. They're supposedly helping with precision medicine, but let's be honest, I can't even get Siri to understand my coffee order.

Day two, and Stephen Wong, PhD, starts talking about integrating AI models into healthcare. He says it's "complex and nuanced." That's academic speak for "good luck figuring this out without a PhD in computer science."

Sonya Makhni, MD, talks about deploying AI solutions. She says it needs a "novel approach." I'll give you a novel approach: How about making a healthcare system that doesn't confuse both patients and AI?

Yuan Luo, PhD, comes up with deep reinforcement learning for diagnosis. Now, if only we could apply that to reinforce common sense in healthcare billing!

Day three, Jithesh Veetil, PhD, talks about public-private partnerships in digital pathology. That's right, folks. We need more meetings, more bureaucracy! Because what healthcare really lacks is more red tape.

And then, the pièce de résistance: a panel on digital pathology and AI. They're discussing hurdles in implementation. Here's a hurdle for you: try explaining this stuff to your grandma without her thinking you're writing an episode of Star Trek.

In conclusion, this conference showed me one thing: the future of cancer treatment is bright, assuming these geniuses can make AI as reliable as my old VCR. And let's be real, the biggest breakthrough in AI we need right now is one that finds the TV remote.