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Scientific Session

Artificial Intelligence Oral Presentations

Monday, March 31, 2025
3:00pm – 4:30pm .
Location:Flagler/Gilchrist
CE: 1.5

Engage in an insightful exploration of the latest scientific research and clinical findings in our session dedicated to scientific abstracts and/or case reports. Immerse yourself in diverse cutting-edge topics as researchers and practitioners present their findings, shedding light on novel discoveries and unique cases. This session offers a platform for knowledge exchange, fostering a deeper understanding of advancements in various fields. Be part of this enriching experience, where scientific inquiry meets practical application, shaping the future of research and healthcare.

    Abstract Session Moderator(s)

  • AC

    Anil Chauhan, MD

    Radiologist
    University of Minnesota
    Minneapolis, United States

    I do not have any relevant financial / non-financial relationships with any proprietary interests.

Presentations:

  • 3:02pm – 3:09pm .
    A deep learning approach for automatic detection of ultrasound transducer uniformity artifacts

    Chunming Gu (he/him/his) – Mayo Clinic

  • 3:10pm – 3:17pm .
    A multimodal deep learning method for predicting cervical lymph node metastasis from PTC

    Dong Xu, MD,PHD – Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences

  • 3:18pm – 3:25pm .
    The Clinical Value of AI in Assisting Junior Radiologists in Diagnostic Ultrasound for Thyroid Nodules: A Multicenter Prospective Study

    Dong Xu, MD,PHD – Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences

  • 3:26pm – 3:33pm .
    Denoising of 3D Acoustic CT orthopedic and pediatric images using deep learning

    James W. Wiskin, PhD (he/him/his) – QT Imaging

  • 3:42pm – 3:49pm .
    Joint improvement of ultrasound and strain elastography image quality with deep learning

    Alycen Wiacek, PhD (she/her/hers) – Oakland University

  • 3:58pm – 4:05pm .
    Review Of Artificial Intelligence In Obstetric Ultrasound

    James E. Maher, III, MD, MSHA – Augusta University Dept of OB

    Manvi Punukollu (she/her/hers) – Medical College of Georgia

  • 4:06pm – 4:13pm .
    TRIBUTE: An Edge Decision Support Tool For Traumatic Brain Injury

    Zain Rasheed (he/him/his) – Novateur Research Solutions

  • 4:14pm – 4:21pm .
    Next-Generation Photoacoustic Imaging: Harnessing OMUS for the future of Precision Vascular Point of Care Diagnostics with AI integration

    Xavier Rottenberg, PhD (he/him/his) – Interuniversity Microelectronics Centre