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Another Crazy Day in AI: What It Actually Takes to Build Health AI

  • Mar 17
  • 3 min read
Another Crazy Day in AI: An Almost Daily Newsletter

Hello, AI Enthusiasts.



Here's another crazy day in AI:

  • Inside OpenAI's healthcare ambitions

  • AI majors are showing up in more colleges

  • Claude now lets you dispatch tasks across devices

  • Some AI tools to try out


🎧 Listen to a quick breakdown of today’s stories.

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What It Actually Takes to Build Health AIAnother Crazy Day In AI: The Podcast

TODAY'S FEATURED ITEM: OpenAI's Plan to Fix Healthcare

A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram)


How should sensitive health data be handled as these systems evolve?


In a recent episode of The OpenAI Podcast, host Andrew Mayne talks with Dr. Nate Gross, OpenAI's Head of Health, and Karan Singhal, who leads their Health AI Research team. Together, they walk through how OpenAI is approaching one of the hardest industries to crack — not just technically, but ethically and practically. They get into the real obstacles, the early wins, and the parts that are still being figured out. It's a useful listen for anyone trying to understand where this technology is actually headed in medicine and what it looks like when it meets the complexity of real healthcare systems.


A few things worth knowing:

  • Development involves close collaboration with hundreds of physicians to keep outputs grounded in real clinical settings

  • Healthcare remains fragmented, with gaps in access and limited time between doctors and patients

  • Evaluation methods like HealthBench are designed to test performance across realistic, multi-step medical conversations

  • Privacy is treated as a core requirement, with safeguards around how health data is stored and used

  • Early real-world testing, including clinical co-pilots, shows some reduction in diagnostic and treatment errors

  • One ongoing challenge is connecting different healthcare systems that don’t easily share information

  • Use cases are gradually expanding into everyday support, from answering questions to helping interpret personal health data



Healthcare touches everyone eventually, which is part of what makes this space so consequential. The tools being built today will find their way into systems that people depend on — and how that unfolds is still very much an open question.


It's the kind of thing that deserves more than a passing look — not because the answers are obvious, but because most of us have a personal stake in it whether we think about it that way or not. Your medical records, your doctor's time, the quality of care available in your community — these aren't abstract policy questions. They're things that show up in real life, often at the worst possible moments. That context is worth keeping in mind as this conversation continues to evolve.




Watch and listen here.

OTHER INTERESTING AI HIGHLIGHTS:


AI Majors Are Showing Up in More Colleges

/Kate Perez, National Trending News Reporter, on USA TODAY


More colleges are turning artificial intelligence into a full-fledged major, reflecting how quickly demand for AI skills is growing. Schools like Northwestern University are rolling out dedicated programs that go beyond coding, covering ethics, real-world applications, and how AI impacts society. These degrees aim to prepare students for roles across tech, healthcare, government, and beyond as organizations race to build smarter systems. With more universities joining in, AI is becoming a core path for students thinking about future-proof careers.



Read more here.


Claude Now Lets You Dispatch Tasks Across Devices

/Claude


Claude is getting a new feature called Dispatch that lets you assign tasks from your phone and have them completed on your desktop. The setup creates one continuous conversation, so you can start a task anywhere and pick it up later without losing context. Claude can access local files, apps, and connected tools to generate outputs like reports, summaries, or presentations. It’s an early look at how AI assistants are starting to act more like always-on coworkers rather than simple chat tools.



Check it out here.

SOME AI TOOLS TO TRY OUT:


  • SocraAI tutor that uses guided questions to help you understand and retain concepts.

  • AI FlowchartTurns text or sketches into clean, editable flowcharts in seconds.

  • SokosumiAI marketing coworkers that research, plan, and manage tasks in one workspace.

That’s a wrap on today’s Almost Daily craziness.


Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!



Wowza, Inc.

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.





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