Revolutionizing Pathology Workflows with Advanced AI Integration
In the latest episode of the Oncology Data Advisor podcast, Dr. Waqas Haque interviews Leif Honda, the Chief Innovation Officer at TriMetis. They dive into the development and training of the AI platform, TriMetis Computer-Assisted Pathology (TCAP), designed to streamline pathology workflows by automating tasks such as cell counting. The discussion emphasizes the rigorous validation process, addressing concerns about self-governing AI and preventing hallucinations in pathology data. Honda outlines TriMetis goal to move pathology workflows upstream, capturing digital images early on for better insights into biomarkers, ultimately speeding up the diagnostic process. The conversation concludes with optimism about the positive impact of AI on pathology, offering efficiency gains and improved outcomes. Tune in to learn more about the latest AI innovations in healthcare and oncology.
You can stream the podcast or watch the video below.
