The initiative aims to standardize digital pathology through an open-source platform and image management system.
Tempus AI, Yale New Haven Hospital, and Memorial Sloan Kettering Cancer Center have launched an open-source digital pathology image management system (IMS) consortium. The partnership aims to standardize digital pathology by developing an open-source platform and viewer for academic medical centers and industry partners.
To support the initiative, Tempus will open-source the existing Paige IMS. This includes the FullFocus slide viewer, FullFolio case management solution, and artificial intelligence (AI) orchestration and integration modules. The project is intended to provide a clinical-grade baseline solution to institutions globally.
“Pathology is entering a transformative new era,” says Razik Yousfi, senior vice president and general manager of AI products at Tempus, in a release. “Advances in deep learning and AI foundation models are enabling digital pathology to generate powerful insights directly from whole slide images, from cancer detection to molecular profiling. As demand for diagnostic and biomarker testing continues to rise, digital pathology offers a unique opportunity to enhance patient care by optimizing tissue utilization, uncovering actionable biomarkers, and improving laboratory workflows.”
Yale New Haven Hospital and Memorial Sloan Kettering Cancer Center are founding academic members of the consortium. As part of this role, the institutions will contribute to the vision, governance, and strategic direction of the open-source ecosystem.
“Digital pathology is transforming how we deliver diagnostics, advance translational research, and integrate AI into clinical care,” says Chen Liu, MD, PhD, chief of pathology at Yale New Haven Hospital, in a release. “Open innovation and shared standards will be essential to accelerating adoption, improving workflow efficiency, and enhancing patient care.”
The consortium is intended to address a lack of clinical-grade solutions for slide viewing, case management, and AI deployment that are accessible as open-source or open-access tools.
“Digital pathology lacks open-source and open-access clinical-grade solutions for on-prem/cloud slide viewing, case management, and AI deployment,” says Saad Nadeem, PhD, associate attending computer scientist at Memorial Sloan Kettering Cancer Center, in a release. “This open source IMS initiative is an important first step, providing opportunities for companies/institutions to develop, deploy, validate, monitor, and disseminate AI solutions with standardized workflows.”
The IMS Consortium operates independently of the current commercial digital pathology offerings from Tempus. The group expects to add more members over time.
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