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Author: Christos Evangelou.
Jason Hipp of the Mayo Clinic delivered a keynote talk on transforming pathology through digital innovation, sharing his insights from his experience at the Mayo Clinic. He began his talk by highlighting the transformative potential of computational pathology and AI, which allows pathologists to move from qualitative to quantitative data and perform assessments that are impossible with standard pathology.
Digital pathology relies on the convergence of laboratory medicine, pathology, technology, and data sciences. Although digital pathology emerged over 20 years ago, less than 10% of pathology departments in the US have adopted digital pathology solutions. However, recent advances in cloud technologies, big data, and AI have opened new avenues and boosted the implementation of digital technologies in pathology departments and large clinics, including Mayo Clinic.
Dr. Hipp provided insights into how the Mayo Clinic leverages computational pathology and AI to advance clinical practice, patient care, and biopharmaceutical research, showcasing practical applications and use cases. Approximately 190,000 slides are scanned monthly across all Mayo Clinic sites. The clinic has 37 Leica GT450 scanners across all sites, opening up 38 enterprise-wide positions to support digital pathology.
Mayo Clinic is implementing a tissue registry program to digitize its archives containing over 25 million tissue glass slides. They plan to digitize 12 million slides by the fall of 2024. The digitized data will be stored in a cloud-based image repository to support clinical, research, and educational use. Moreover, 3 million historical paper pathology reports will be digitized to support longitudinal pathology studies. The clinic has also developed AI systems for in-line automated quality assessment and corrections for archival scanning. Dr. Hipp explained that integrating AI models into their scanners allows them to perform edge computing, analyze images in real-time, and obtain a 3D spatial representation of the tumor microenvironment through volumetric scanning.
Dr. Hipp also provided insights into the exciting future possibilities of computational pathology and AI in revolutionizing patient care. In collaboration with Aiforia, Mayo Clinic developed AI SANBOX@MAYO, an AI research pipeline that allows pathologists to translate projects from ideas to practice. The research pipeline fosters innovation and upskills in pathologists by allowing pathologists who are not experienced with AI to leverage AI tools.
The clinic has also developed a multimodal platform that allows pathologists to collect structured or unstructured biomedical data, fully digitized EMR data, digitized pathology slides (12,000,000 by fall 2024), a collection of 9,900,000 ECG tests, a diverse CAP/CLIA diagnostic test menu (3,800), and radiology images (241,000,000 CT scans, 146,000,000 MRI scans, and 2,500,000 PET scans). Collaborating with technology partners, the clinic also aims to create next-generation spatial biomarker data.
By leveraging advanced digital technologies and cloud systems, Mayo Clinic has enhanced diagnostic accuracy and streamlined workflow processes, ultimately improving patient care outcomes. Dr. Hipp highlighted the potential of these technologies to revolutionize patient care by enabling more personalized and precise treatments and accelerating drug development processes through advanced computational capabilities. He underscored that a fully immersive visual experience combined with touch, vision, and sound enabled by spatial computers can enhance the clinical implementation of digital technologies in an ecosystem in which pathologists can work seamlessly with computers to fully realize the benefits of practicing digital pathology.
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Christos Evangelou is a Medical Writer at Pathology News. This Report from the 1oth Digital Pathology & AI Congress: USA is reproduced with permission and thanks.
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