How Data Matters for Better Surgery Outcomes With: Adrian Mendes
Adrian Mendes, CEO of Perimeter Medical Imaging, emphasizes the critical role of high-quality data in improving surgical outcomes. He explains that while hardware and algorithms are increasingly commoditized, data remains the key differentiator for AI in healthcare. Perimeter’s OCT technology generates millions of images, which, when paired with pathology outcomes, create a robust dataset for training. Mendes highlights challenges such as variability in tissue types, definition decay, and the difficulty of obtaining de-identified yet clinically rich data. He underscores the importance of patient and hospital collaboration in contributing data to improve accuracy, reduce costs, and prevent re-operations.
Episode Contents:
About the Guest
Adrian Mendes is CEO of Perimeter Medical Imaging, where he leads efforts to harness OCT and surgical data to improve cancer outcomes and reduce healthcare costs.
Key Takeaways
Data is the most valuable element of AI in healthcare. Diverse, pathology-confirmed datasets improve accuracy. Sharing de-identified data can reduce re-operations and costs.
Transcript Summary
How important is data in surgical outcomes?
Data is key—hardware and algorithms are commodities, but high-quality data drives real accuracy.
What are the challenges?
Variability in tissues, evolving definitions, and the difficulty of collecting large-scale de-identified data.
Why should patients contribute data?
Shared data makes AI tools smarter, reducing repeat surgeries and benefiting future patients.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.