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Can AI fix the operating room? This startup thinks so | Equity Podcast

There’s plenty of hype around AI and robots in healthcare, but the problem that’s actually costing hospitals money right now is operating room coordination. Two to four hours of OR time is lost every single day, not because of the surgeries themselves, but because of everything in between from manual scheduling and coordination chaos to…

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There’s plenty of hype around AI and robots in healthcare, but the problem that’s actually costing hospitals money right now is operating room coordination. Two to four hours of OR time is lost every single day, not because of the surgeries themselves, but because of everything in between from manual scheduling and coordination chaos to guesswork about room turnover.

TechCrunch’s Equity podcast caught up with Conor McGinn, co-founder and CEO of Akara, the startup that recently landed a spot on Time’s Best Inventions of 2025 and is building what’s essentially air traffic control for hospitals using thermal sensors and AI.

Chapters:

00:00 – Introduction

00:54 – Air traffic control for ORs

02:35 – Where hospitals lose hours daily

03:54 – Selling into risk-averse hospitals

06:21 – Thermal sensors and edge AI

09:11 – NHS as proof of concept

13:16 – The AI under the hood

18:12 – Privacy benefits of thermal

21:22 – Infrastructure before robots

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  1. @podcast_growther

    December 26, 2025 at 1:42 am

    Hi TechCrunch Daily Crunch team, Merry Christmas 🎄
    I’m Tania — a professional digital marketer specializing in organic podcast growth and monetization. I follow TechCrunch Daily Crunch and value how you distill tech news into clear, insightful episodes.

    Today’s podcast space is highly competitive — many shows are already using strategic, organic growth methods to scale listeners, improve rankings, and unlock sponsorship opportunities. My approach focuses on real long-term audience engagement and authentic growth without bots or fake plays, helping strong podcasts become profitable brands.

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Science & Technology

Eclipse Ventures Co-Founder Lior Susan’s Insights Into a $1.3B Bet on Physical AI | StrictlyVC

Fresh off raising a $1.3 billion fund, Eclipse Ventures is doubling down on what it calls physical AI. In this StrictlyVC interview from our 2026 event in San Francisco, co-founder and managing partner Lior Susan discusses robotics, manufacturing, autonomous systems, and what it takes to build enduring companies where AI meets the physical world. Plus,…

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Fresh off raising a $1.3 billion fund, Eclipse Ventures is doubling down on what it calls physical AI. In this StrictlyVC interview from our 2026 event in San Francisco, co-founder and managing partner Lior Susan discusses robotics, manufacturing, autonomous systems, and what it takes to build enduring companies where AI meets the physical world. Plus, you can get a peek into Susan’s perspective about the SpaceX IPO.

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Science & Technology

The OpenAI vs. Elon Musk Trial Is Getting Messy Fast | Equity Podcast

Elon vs. Altman is just getting started, and Musk’s own tweets are already working against him in court. Shareholders, take note 👀 Catch the full breakdown on the latest Equity podcast episode:

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Elon vs. Altman is just getting started, and Musk’s own tweets are already working against him in court. Shareholders, take note 👀

Catch the full breakdown on the latest Equity podcast episode:

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Science & Technology

Campbell Brown on Going From Anchor to Facebook to Founding Forum AI | StrictlyVC

Campbell Brown has seen the information ecosystem from every angle — as a journalist, as Meta’s former head of news, and now as founder and CEO of Forum AI. In this StrictlyVC interview from our 2026 event in San Francisco, she discusses trustworthy AI, misinformation at scale, and what it takes to build reliable information…

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Campbell Brown has seen the information ecosystem from every angle — as a journalist, as Meta’s former head of news, and now as founder and CEO of Forum AI. In this StrictlyVC interview from our 2026 event in San Francisco, she discusses trustworthy AI, misinformation at scale, and what it takes to build reliable information systems in the age of AI.

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