View some of our recommended content pieces from the world of AI
Join this webinar on November 26 to learn how AI technology can enhance precision, speed, and diagnostic accuracy in breast cancer diagnostics.
Watch this webinar to discover how digital pathology with AI evaluation is a more sensitive method for HER2-low assessment.
Watch this webinar to learn how AI-guided spatial transcriptomic analysis improves recognition of biologic features relevant to patient outcomes.
Watch this webinar to discover the real-world diagnostic pressure points of PD-L1 TPS testing in NSCLC.
This is your guide to digital pathology and artificial intelligence. Learn everything essential, from benefits and challenges to current trends and solutions.
Watch this webinar to discover how artificial intelligence can be helpful in anatomic pathology from diagnostic, prognostic, and therapeutic perspectives.
Watch this webinar to discover how artificial intelligence (AI) can be beneficial in renal pathology.
What is required for pathology laboratories to go fully digital? Learn how the broadest public healthcare provider in the Veneto region did it.
What to consider when choosing a vendor for AI in pathology? Learn how the Mayo Clinic evaluated platform providers based on six key criteria.
Presented by:
Artificial analysis on digital pathology slides involves applying machine learning algorithms and artificial intelligence (AI) techniques to assist pathologists in diagnosing diseases accurately and efficiently. To ensure reliable and accurate results, it is beneficial to follow best practices for workflow processes and maintain strict quality control measures. This approach helps guarantee long-term success in AI-assisted image analysis.
Professor Angelo Paolo Dei Tos from the University of Padova shares a message on the exciting intersection of digital pathology and AI. Why should you integrate AI into your workflow? Watch the video.
Discover how Aiforia Clinical AI models are integrated into a clinical pathology lab.
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Presented by Liesbeth Hondelink PhD candidate
How to develop the ground truth for a deep learning AI model
Presented by Aiforia
Presented by Dr. Bedard and Dr. Zuraw veterinary pathologists at Charles River Laboratories
Presented by Camille Hurley PhD student at the Royal College of Surgeons in Ireland
Theme: speed
Presented by the Mayo Clinic
Presented by Lundbeck
Presented by Massachusetts General Hospital
Presented by the University of Helsinki
Presented by Experimentica
Presented by Charles River Laboratories
Presented by MIT
Presented by Orion
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