was successfully added to your cart.

    John Snow Labs to Present Latest Advances in Healthcare Generative AI at HIMSS 2025

    Avatar photo
    Head of PR, John Snow Labs

    The Company Will Participate in Three Talks with Partners Databricks, Carahsoft, and Amazon Web Services about New, State-of-the-Art Capabilities in Healthcare AI

     

    John Snow Labs, the AI for healthcare company, today announced the details of its participation at the 2025 HIMSS Global Health Conference & Exhibition, taking place from March 3-6 in Las Vegas. The company’s CEO David Talby will speak about new, state-of-the-art capabilities in healthcare AI with partners Databricks, Carahsoft, and AWS, respectively.

    The largest gathering of healthcare technology professionals worldwide, HIMSS brings together more than 30,000 attendees to discuss global health topics shaping the next generation of healthcare. John Snow Labs will join partners on the show floor to demonstrate its part in this ecosystem in the following sessions:

    3pm PT, Tuesday, March 4: Unifying Multimodal Patient Data with Medical LLMs (Databricks booth #4360).

    This talk will explore a new capability that transforms diverse clinical data (EHR, FHIR, notes, and PDFs) into a unified patient timeline, enabling natural language question answering. Combining healthcare-specific LLMs along with a terminology service and scalable data ingestion pipelines, it excels in complex queries and is ideal for organizations seeking OMOP data enrichment.

    10am-12pm PT, Wednesday, March 5: The Medical Research Agent (CarahSoft booth #2216)

    David will demonstrate state-of-the-art accuracy of the Medical Research Agent medical LLM, automated systematic reviews, and question answering on private and public knowledge bases.

    9am PT Thursday, March 6: Automated DICOM Deidentification with AWS HealthImaging (AWS booth #4624)

    This talk will explore John Snow Labs’ turnkey, regulatory grade DICOM image de-identification on AWS

    HealthImaging, including both metadata and pixel-level PHI, integrated with AWS HealthImaging to support compliance and scale.

    “With no shortage of AI solutions on the market, few can say they are delivering state-of-the-art results, updated daily with the latest research and advances in the field,” said Talby. “John Snow Labs is excited to showcase how we’re helping leading healthcare organizations leverage accurate, safe, and responsible AI, already making an impact on research, patient care, and operations.”

    Additional Resources:

    How useful was this post?

    Avatar photo
    Head of PR, John Snow Labs
    Our additional expert:
    Gina Devine, Head of PR, John Snow Labs. Gina is a public relations strategist with over a decade experience working with enterprise technology and healthcare organizations. Having held roles at agencies, in-house, and as a freelance consultant, she has worked with more than 30 clients, helping to develop and execute communications and media plans that align with strategic business goals. She studied communications and political science at the University of Massachusetts, Amherst, and has a master's degree in public relations from Boston University. For media inquiries: gina@johnsnowlabs.com

    Reliable and verified information compiled by our editorial and professional team. John Snow Labs' Editorial Policy.

    De-Identification of German Medical Text for GDPR Compliance

    De-identification is the process of removing or masking sensitive, personally identifiable information from data, particularly in medical records. This is crucial to...
    preloader