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Video Recording

Educational Session

Information Technology and Informatics

AM25-SN-25-L - The Transformative Power of Artificial Intelligence and Machine Learning: From Blood Collectors to the Transfusion Service, a Vein to Vein Approach

Sunday, October 26, 2025
3:45 PM - 4:45 PM  PT
Room: SDCC 20BC
CE: 1 CME (AMA Physician Credit) / 1 CE (Non-Physician Credit)

    Program Chair(s)

  • Aaron A.R Tobian, MD, PhD

    Professor
    Johns Hopkins University
    Baltimore, Maryland

    Disclosure(s): Grifols: Grant/Research Support (Ongoing), Honoraria (Ongoing)

    • Speaker(s)

  • Ruchika Goel, MD, MPH, CABP (she/her/hers)

    Senior Medical Director, Professor of Internal Medicine and Pediatrics
    Vitalant and Johns Hopkins University
    Springfield, Illinois

    Disclosure(s): Abbott: Consultant/Advisory Board (Terminated); Westat: Consultant/Advisory Board (Ongoing)

  • David Daniel, MD (he/him/his)

    Assistant Professor
    Johns Hopkins Medicine
    Baltimore, Maryland

    Disclosure(s): MTF Biologics: Consultant/Advisory Board (Terminated, January 31, 2024)

    Handouts
This session will take the audience through a journey into the revolutionary impact of Artificial Intelligence (AI) and Machine Learning (ML) in transfusion medicine and blood banking. In our field where precision and timely decision-making are critical, AI emerges as a powerful tool! Through the combined lenses of a national blood center and a large tertiary-care hospital-based transfusion service, this session will explore the myriad ways AI is reshaping our field. An overview of the real-world applications will be provided making it a valuable session for both beginners and those experienced in AI/ML.
The session will begin with an introduction to AI, exploring its various types. Next, we will delve into current AI applications, highlighting specific areas such as enhancing accuracy in blood screening, and improving transfusion safety to optimizing inventory management, blood product utilization, personalized transfusions, and beyond. AI can assist in streamlining operations, reducing human errors, and ultimately improving donor and patient outcomes. The specific steps involved in the development and implementation of AI/ML models, from data selection to model evaluation, will be discussed. We will then examine the benefits and risks associated with AI adoption, including ethical considerations and regulatory challenges. Finally, looking towards the future, emerging trends and possibilities in AI-driven transfusion medicine will be discussed.
The session will conclude with exploring the benefits versus risks, and future anticipations of AI offering a comprehensive understanding of how AI is not just a technological advancement, but a transformative force!

Learning Objectives:

  • Illustrate current Artificial Intelligence (AI) and Machine Learning (ML) offerings and applications, highlighting specific areas such as enhancing accuracy in blood screening, improving transfusion safety, optimizing inventory management, personalized transfusions, and beyond.
  • Summarize the steps involved in the development and validation of a machine learning model for practical use in clinical as well as research setting in blood banking/transfusion medicine.
  • Appraise the benefits and risks associated with AI adoption, including ethical considerations and regulatory challenges. Finally, looking towards the future, emerging trends and possibilities in AI-driven transfusion medicine will be discussed.