In this episode of the AI Monetisation Podcast, Lars Maaløe, Co-Founder and CTO of Corti, joined Co-founder Binny Mathews to discuss how AI is transforming healthcare by enhancing doctor-patient interactions and improving clinical outcomes.

Guest Background: A pioneer in applied AI for healthcare, Lars leads Corti’s mission to alleviate administrative burdens on clinicians while improving patient safety. With roots in deep machine learning research and time spent at Apple as an ML researcher, Lars is focused on building healthcare infrastructure powered by cutting-edge language and speech models.

What’s Inside?

AI-driven clinical assistants: Supporting real-time doctor-patient conversations
How Corti’s tech improves patient safety and documentation integrity
Building healthcare-specific LLM stacks from open-source and proprietary models
Using multi-agent architectures for medical coding and guideline compliance
Real-world case studies in emergency medicine and hospital triage

Key Takeaways:

1. Focus on solving real pain points like admin overload and documentation quality

2. AI is most impactful when enhancing, not replacing, human decision-making

3. Domain-specific fine-tuning is critical for trustworthy clinical AI

4. Real-time fact extraction helps clinicians act on insights as they emerge

5. Healthcare AI must prioritize transparency, explainability, and human oversight

This episode is essential listening for AI innovators, healthcare tech builders, and clinical leaders interested in how next-gen AI is giving doctors back their most valuable asset—time with patients.

For full show notes, visit- https://bit.ly/4m3aA7q

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