Dia Trambitas is an AI Product Manager with deep expertise in Natural Language Processing and applied Generative AI. At John Snow Labs, Dia has led the development of the Generative AI Lab — a no-code platform for data annotation and model training — as well as the Medical Chatbot, a secure and domain-specific conversational AI assistant tailored for clinical environments. With a strong focus on practical deployments of cutting-edge AI, she has worked at the intersection of healthcare and technology, driving product innovation that empowers users to harness large language models safely and effectively. Passionate about transforming unstructured data into actionable insights, Dia brings a strategic and user-centered approach to building AI tools that are both powerful and accessible.
In industries where strict regulatory standards govern operations, achieving full auditability and operational transparency is critical—not optional. Generative AI Lab addresses these critical requirements with a powerful set of enhancements...
Human-in-the-Loop (HITL) validation is critical to ensuring AI model outputs meet the highest standards of accuracy, compliance, and usability. Generative AI Lab is purpose-built to empower annotation teams to validate...
Introduction Healthcare organizations are under increasing pressure to improve the accuracy and efficiency of clinical documentation and risk adjustment. With the rise of value-based care, Hierarchical Condition Category (HCC) coding...
Navigating the world of medical research often feels like diving into an ocean of information without a map. For researchers, healthcare professionals, and clinicians, effectively conducting literature reviews is critical...
Side-by-side viewing and comparing different annotations made by various annotators on text documents present several challenges. Firstly, aligning the annotations for accurate comparison can be difficult, especially if the annotators...
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