Digital Pathology:
Artificial Intelligence Models in Gastrointestinal Diseases
About this webinar
As digital pathology becomes routinely available in anatomic pathology, artificial intelligence (AI)-based technologies have the potential to enhance diagnostic accuracy and speed, histologic feature recognition and various forms of quantitative image analysis of human diseases.
This webinar will discuss how to develop AI models — using a cloud-based deep learning platform, Aiforia, — that identify and quantify various histologic features in neoplastic, inflammatory and metabolic diseases of the gastrointestinal tract and liver.
Join this webinar on digital pathology to learn how non-AI specialists can develop clinically useful AI-based image analysis models.
Who should attend
- Practicing pathologists
- Researchers with an interest in AI and image analysis
- Pathology fellows and trainees with an interest in AI
- Industry professionals involved in pathology image analysis
What you will learn
- How artificial intelligence (AI) can be used to create clinically useful image analysis models of human diseases
- About AI models of specific human gastrointestinal and liver diseases and their application
Featured Speakers
Dr. Roger K. Moreira, MD
Dr. Roger Moreira received his medical degree from the Federal University of Rio Grande do Sul, Brazil. He did his pathology residency at Emory University, Atlanta, GA, and his gastrointestinal pathology fellowship at Vanderbilt Medical Center, Nashville, TN. He was a staff pathologist at Columbia University Medical Center in New York, NY from 2009-2012 and has been a gastrointestinal pathologist at Mayo Clinic in Rochester, MN for the last 10 years. Dr. Moreira has been involved with developing various AI models of gastrointestinal diseases in partnership with Aiforia since 2020.
Gillian Beamer, VMD, Ph.D., DACVP
Gillian Beamer, VMD, Ph.D., DACVP, joined Aiforia in 2022 as Director of Research Pathology. She is a board-certified pathologist and scientist by training at the University of Pennsylvania and at The Ohio State University. Her research areas of expertise in pathology include inflammatory and infectious diseases, with a particular interest in tuberculosis.
Partner for this event
Aiforia
Aiforia equips pathologists and scientists in preclinical and clinical labs with powerful deep learning artificial intelligence software for translating images into discoveries, decisions, and diagnoses. The cloud based Aiforia products and services aim to escalate the efficiency and precision of medical image analysis beyond current capabilities, across a variety of fields from oncology to neuroscience and more. To learn more, please visit www.aiforia.com
