Are manual and subjective methods slowing down your kidney pathology workflow?
Join for an insightful webinar to discover how AI can assist in addressing the challenges of manual and subjective quantification in kidney pathology.
Dr. Andrew D. Rule, M.D., from Mayo Clinic takes the audience through the AI training process, including annotations, designing a hierarchical classification tree, analyzing the human versus AI validation results, calculating chronicity measures from AI detections, and building a quantitative report to accompany the pathologist's report.
In this webinar, you will learn:
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The critical role of histological evaluation of kidney biopsy tissue and the challenges present in the traditional subjective visual inspection for scoring chronic changes
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The iterative training steps for building an AI model with Aiforia® Create to automate the quantification of chronic changes in kidney histology
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How the developed AI model provides quantitative scores for nephron size, nephrosclerosis, and inflammation
This webinar is ideal for pathologists, nephrologists, researchers, and anyone interested in the advancements of AI in medical diagnostics.
