PV24 Speakers

Subject to change.

 

 

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Kingsley Ebare, MD, MPH, FCAP

Senior Associate Consultant, Mayo Clinic

Kingsley Ebare, MD, MPH is a Senior Associate Consultant  and Medical Director of Computational Pathology at Mayo Clinic Arizona. Current research interests include image analysis and development of AI algorithms to assist pathologists in diagnosis.  He is a practicing Urologic Pathologist with focus on prostatic, testicular, renal, bladder, and penile cancers. In prior roles prior to pathology training, he served as Biostatistician with Johnson &Johnson Visioncare, Jacksonville Florida.  

 

 

SESSIONS

Foundation Models: A Deep Dive into Their Applications in Pathology
   Mon, Nov 4
   01:10PM - 01:30PM ET
  Regency Q

Foundation models trained on massive and diverse datasets, hold immense potential to revolutionize pathology by automating image analysis and assisting pathologists in diagnosis. This presentation will delve into introducing foundation models to the audience, exploring their key characteristics, applications in digital pathology, and a specific use case for classifying tumors. We will discuss the benefits of adopting these models, including increased diagnostic accuracy and reduced analysis time. Furthermore, we will also address the challenges associated with data privacy, ethical considerations, and the need for explainable AI. By exploring the the application of foundation models in pathology, this presentation aims to spark further discussion and collaboration between AI researchers and pathologists to optimize their integration into digital pathology research and practice.

 

Learning Objectives

  1. Have a broad understanding of foundation models in general.
  2. Know and apply foundation models to digital pathology.

 

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