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3/13/2025 |
8:00 AM – 9:30 AM |
Grand Ballroom
Year in Review: Artificial Intelligence and Data Science
Presentation Type: Plenary Session
Session Credits: 1.5
Year in Review: Artificial Intelligence and Data Science
Presentation Time: 08:00 AM - 09:30 AM
The Health Care AI and Data Science Year In Review is an annual retrospective that highlights the most significant advancements, challenges, and forward-looking trends in the field of Artificial Intelligence (AI) and Data Science within healthcare and biomedical research. This comprehensive overview showcases the collaborative efforts between clinicians, researchers, and technologists, emphasizing innovations in machine learning models, large language models (LLMs), and generative AI (genAI) that have potential to revolutionize patient care, diagnostics, and therapeutic development. It also examines the integration of multimodal data sources and ethical considerations surrounding AI deployment in clinical settings. The review serves as a vital resource for the informatics community, providing insights into the current state of AI and Data Science, identifying gaps in knowledge, and suggesting directions for future research and application in healthcare to improve outcomes and efficiency.
Speaker(s):
Yuan Luo, PhD, FACMI, FAMIA, FIAHSI
Northwestern University
Marylyn Ritchie, PhD, FACMI
University of Pennsylvania, Perelman School of Medicine
Author(s):
Presentation Time: 08:00 AM - 09:30 AM
The Health Care AI and Data Science Year In Review is an annual retrospective that highlights the most significant advancements, challenges, and forward-looking trends in the field of Artificial Intelligence (AI) and Data Science within healthcare and biomedical research. This comprehensive overview showcases the collaborative efforts between clinicians, researchers, and technologists, emphasizing innovations in machine learning models, large language models (LLMs), and generative AI (genAI) that have potential to revolutionize patient care, diagnostics, and therapeutic development. It also examines the integration of multimodal data sources and ethical considerations surrounding AI deployment in clinical settings. The review serves as a vital resource for the informatics community, providing insights into the current state of AI and Data Science, identifying gaps in knowledge, and suggesting directions for future research and application in healthcare to improve outcomes and efficiency.
Speaker(s):
Yuan Luo, PhD, FACMI, FAMIA, FIAHSI
Northwestern University
Marylyn Ritchie, PhD, FACMI
University of Pennsylvania, Perelman School of Medicine
Author(s):