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

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-perf...

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

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

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

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.

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

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 ...

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

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

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.

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

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.

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

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

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

Abridge's VP of Product, Dany, has implemented a new internal process where building prototypes replaces the traditional writing of Product Requirement Documents (PRDs).

Abridge announced partnerships with payers last year to address prior authorization processes.