Israel Uses AI To Predict Terrorists ft. Kira Radinsky

AI can identify a patient at risk or even predict a terrorist attack, but a prediction only matters if someone acts on it.

Kira Radinsky, Co-Founder and CTO of Diagnostic Robotics, joins Yoel Israel to explain how the company analyzes almost 60 billion historical patient claims to predict deterioration and determine the best proactive clinical next step. She shares how AI voice agents can help health plans reach more patients, coordinate care, and address barriers that human teams may not have the capacity to handle.

Kira also traces her path from Kyiv to Israel, starting university at 15, and discovering AI after accidentally killing the cells she was supposed to study. The conversation expands into narrative bias in LLMs, the parts of the AI stack where Israeli engineers are positioned to compete, and her work with Alma Labs to help eighth graders build AI literacy.

Hosted by Yoel Israel

Featuring Kira Radinsky, Co-Founder and CTO of Diagnostic Robotics

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00:00 Intro: Who is Kira Radinsky?

01:13 Kira’s journey: From Ukraine to Israel to California.

04:00 How an early research study led Kira to the world of AI.

06:15 Being a 15-year-old at university: Intellectual vs. social challenges.

08:32 Scaling a tech business: Why move to the US?

10:12 What Diagnostic Robotics actually does.

12:17 Example: How AI identifies and helps a depressed patient.

14:48 The role of AI in care coordination and management.

17:01 Predicting the future: LLMs, swarms of agents, and AI specialization.

19:16 Addressing narrative bias and geopolitics in AI training.

22:25 Israel's role in the global AI race: Smarter and faster engineering.

25:42 AI Education: Using data to predict and prevent security threats.

27:58 Training the next generation: 50,000 kids and the future of AI literacy.

30:00 Changing the role of teachers: From content delivery to coaching.

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