Shiv and Mikal

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Shiv and Mikal, mentioned 16 times across podcast episodes and expert conversations analyzed by Sonic.

What Shiv and Mikal has said

Shiv predicts that Abridge will announce more partnerships with payers and providers over the next few months.

bullish·Shiv and Mikal

Shiv believes that for high-stakes problems in healthcare where 80% accuracy is insufficient, there is a significant market opportunity for dedicated companies to invest heavily in achieving near-perfect solutions.

bullish·Shiv and Mikal

Shiv observes that health systems are becoming more deliberate in deciding when to partner with vendors versus investing in their own internal innovation.

neutral·Shiv and Mikal

Shiv predicts that Abridge will announce more partnerships with payers and providers over the next few months.

Expert perspectiveShiv and MikalMay 27

Shiv observes that health systems are becoming more deliberate in deciding when to partner with vendors versus investing in their own internal innovation.

Expert perspectiveShiv and MikalMay 27

Shiv asserts that providing sufficient context to clinical AI models is critical, as sparse context can result in answers that are "deadly wrong."

Expert perspectiveShiv and MikalMay 27

Shiv believes that innovating on business models is the most critical task for AI in healthcare at the present moment.

Expert perspectiveShiv and MikalMay 27

Shiv categorizes the evolution of AI companies into three distinct eras: post-transformer/pre-LLM, post-LLM/pre-Agent, and the current post-Agent stage.

Expert perspectiveShiv and MikalMay 27

According to Shiv, Boris from Anthropic described Mikal's hackathon submission as one of the most impressive he had seen.

Expert perspectiveShiv and MikalMay 27

Mikal predicts that AI for administrative tasks in healthcare will be adopted before AI for core clinical tasks, because clinical applications require more extensive validation through evidence-based ...

Expert perspectiveMikalMay 27

Mikal cites the startup PMcardio, which uses machine learning models to detect closed coronary arteries from ECGs that are not detectable by standard criteria.

Expert perspectiveMikalMay 27

Mikal claims he interacts with AI in Polish because it is the most token-efficient language.

Expert perspectiveMikalMay 27

Mikal asserts that while AI tools enable rapid prototyping by clinicians, shipping production-grade solutions in healthcare requires professional engineers to ensure safety and prevent errors.

Expert perspectiveMikalMay 27

Mikal quit his job as a full-time interventional cardiologist in Belgium to join Abridge.

Expert perspectiveMikalMay 27

Mikal believes that Anthropic's Opus 4.5 and 4.6 models, released around December 2023, represent a significant acceleration in the coding and understanding capabilities of large language models.

Expert perspectiveMikalMay 27

Mikal claims that an LLM coded the MVP for his hackathon project in approximately 40 minutes, complete with test coverage and documentation.

Expert perspectiveMikalMay 27

The Anthropic hackathon in which Mikal participated had 13,000 participants.

Expert perspectiveMikalMay 27

Mikal, a software engineer at Abridge, developed an agentic patient intake system called Previsit AI while he was still a practicing clinician.

Expert perspectiveMikalMay 27

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