Editors: Raymond D. Aller, MD & Dennis Winsten
Leading health systems join with Aidoc to form diagnostic AI group
September 2026—Twelve U.S. health systems have joined forces with the clinical artificial intelligence company Aidoc to form the Diagnostic AI Consortium, with the goal of harnessing AI to improve the safety, quality, and speed of patient diagnosis and developing and adhering to standards for evaluating and governing the capability.
The member organizations, which collectively care for nearly 20 million patients annually, thus far include Advocate Health, Charlotte, NC; Cedars-Sinai Health System, Los Angeles; Hartford (Conn.) Healthcare; Houston Methodist; Mercy, Chesterfield, Mo.; Mount Sinai Health System, New York City; Northwell Health, New Hyde Park, NY; Northwestern Medicine, Chicago; Sutter Health, Sacramento, Calif.; University of Florida Health, Gainesville; University Hospitals of Cleveland; and WellSpan Health, York, Pa.
Consortium members will work together to design AI-enabled diagnostic workflows that prioritize the right cases, accelerate interpretation, and deliver critical results in a timely fashion; measure the impact of such workflows on safety, quality, and speed to diagnosis across member sites; and develop implementation and governance practices that any health system can adopt.
“Discipline at scale is central to the consortium’s mandate,” according to an Aidoc press release, which stated that no single health system can achieve the consortium’s goals on its own.
“The consortium’s findings are intended to augment and advance initiatives already underway across the industry, from Aidoc and its customers to regulators, medical societies, and health systems building their own programs,” the press release added.
Aidoc will provide the consortium’s infrastructure through its CARE clinical AI foundation model and aiOS enterprise AI operating system.
The consortium expects to release its initial results next year.
Epredia adds tissue sample archiving to product portfolio via partnership
The precision cancer diagnostic solutions provider Epredia is collaborating with Canada-based Lab Improvements to bring intelligent tissue sample archiving to U.S. pathology laboratories.
Epredia will add Lab Improvements’ BlockTracker and SlideTracker automated archiving solutions to its U.S. product portfolio to support the traceability of pathology samples. The solutions, which are designed for hospitals, university medical centers, reference labs, and cancer centers, automate the sorting, storage, and retrieval of pathology blocks and slides.
“BlockTracker and SlideTracker allow facilities to build and automate a chain of custody around their samples, providing labs with a complete digital and physical record of where every sample is and who interacted with it, from the histology bench to off-site storage,” Epredia reported.
BlockTracker offers high-throughput cassette archiving for labs of any size, handling up to 1,500 blocks per hour, including historical specimens, without disrupting daily workflow. With SlideTracker, 200 slides can be loaded in less than five minutes and automatically segmented by barcode.
The automated archiving systems integrate seamlessly with other Epredia solutions, including the company’s SlideMate laser printers for slides and cassettes. They are compatible with commercial laboratory information systems and use standard histology block and slide boxes. An intuitive centralized database provides smart analysis and reporting that staff can access from any laboratory workstation.
Epredia, 800-522-7270
Clinisys enters collaboration and updates lab solution
Clinisys recently announced a strategic partnership with the software company Decisions, as well as general availability of its Clinisys Laboratory Solution version 2025.3 software.
With a focus on laboratory-controlled system configuration, Clinisys will integrate Decisions’ low-code and no-code orchestration, automation, and advanced artificial-intelligence capabilities into its platform. This will allow laboratories to design, adapt, and manage workflows using visual tools and reusable components.
“By embedding a powerful low-code and no-code engine directly within the Clinisys platform, lab leaders gain the ability to build, modify, and optimize workflows with more efficiency and speed—within a structured and controlled framework—without relying on proprietary languages or vendor-restricted development tools,” according to a Clinisys press release.
In a separate announcement, Clinisys reported that it has released Clinisys Laboratory Solution version 2025.3, which includes the company’s new Clinisys Gateway module and enhancement to the CLS analytics module, among other product features.
Clinisys Gateway is the evolution of the company’s LabOnline client portal. It provides a modernized user interface and updated platform architecture. “Importantly, familiar workflows remain consistent to support continuity for users,” Clinisys reported. “Ordering, permissions management, and results access continue to follow established processes familiar to customers.”
The Clinisys analytics module has been enhanced in this latest version with configurable dashboards and reports that provide access to laboratory activity, workflow information, turnaround metrics, and quality-management data.
Among other system configuration capabilities is the new Test Build Wizard, which offers a step-by-step process for configuring and validating tests.
Clinisys, 520-570-2000
Leica receives FDA clearance for multiple digital products
Leica Biosystems has received multiple FDA 510(k) clearances that strengthen its connected clinical digital pathology portfolio, including for its standalone artificial intelligence-assisted quality control software.
The clearances apply to the Aperio iQC DX quality control software and Aperio GT 180 DX scanner, as well as to enhanced capabilities for the Aperio GT 450 DX scanner, all of which are intended for in vitro diagnostic use.
“As the industry’s first FDA 510(k)-cleared software product for AI-assisted digital pathology quality control in a clinical setting, Aperio iQC DX software represents a significant step forward in accelerating time to diagnosis,” according to a Leica press release. The software automatically detects such issues as air bubbles, pen marks, clipped tissue, missing tissue, out-of-focus regions, and image striping while slides are on the scanner.
The 450-slide capacity Aperio GT 450 DX clinical scanner can manage complex caseloads and rapidly convert glass slides into digital images. This latest release includes new manual scan capabilities for more complex slides, advanced DICOM (Digital Imaging and Communications in Medicine) capabilities, and z-stacking for the clinical environment.
The Aperio GT 180 DX clinical scanner extends Leica’s clinical scanning portfolio to mid-volume laboratories seeking to scale digital pathology to fit their case mix, staffing models, and operational needs. The 180-slide capacity scanner provides the same scan speed and features as the Aperio GT 450 DX.
Leica Biosystems, 844-534-2262
Proscia gets second FDA nod for digital pathology platform and gains alliance partner
Proscia recently announced that it has received a second FDA 510(k) clearance for its Concentriq AP-Dx platform and that the precision oncology intelligence firm Imagene AI has joined its Proscia Ready partner alliance.
Proscia has received FDA 510(k) clearance for its Concentriq AP-Dx digital pathology platform for primary diagnosis. The clearance applies to compatibility with the Leica Aperio GT 450 DX slide scanner, cloud deployment, and a predetermined change control plan.
“Through the PCCP, Proscia gains a more efficient pathway to expand Concentriq AP-Dx’s interoperability while maintaining regulatory oversight,” according to a press announcement from the company. “The PCCP enables Proscia to validate and implement support for additional FDA-cleared scanners, image formats, and displays without requiring further 510(k) submissions.”
Concentriq AP-Dx received FDA 510(k) clearance for primary diagnosis with the Hamamatsu NanoZoomer S360MD slide scanner in 2024.
In a separate announcement, Imagene AI reported that it is now a member of the Proscia Ready partner alliance and will integrate its H&E tools and IHC image-analysis capabilities with Proscia’s Concentriq digital pathology platform.
“By making Imagene AI’s quantitative image-analysis capabilities accessible to Proscia’s customers, organizations will be able to incorporate AI-powered workflows while benefiting from centralized image and data management,” according to an Imagene AI press release. “The integration is intended to streamline collaboration, reduce workflow fragmentation, and support more consistent execution across research, clinical development, validation, and deployment environments, while also enabling future collaborations between Imagene and Proscia.”
Proscia, 215-608-5411
Oracle Health offering AI-powered patient portal
Oracle Health’s artificial intelligence-powered Oracle Health Patient Portal is now generally available in the United States.
The portal, which is integrated with the Oracle Health EHR, allows patients to engage with their care providers and receive plain-language explanations of test results, diagnoses, and treatment options.
Self-service tools within the portal can be used to remind patients of outstanding tasks, such as completing laboratory tests, preparing for upcoming physician visits, and managing follow-up appointments and screenings, as well as to access recent visit highlights and information about health conditions and medications.
“Using the system’s embedded, contextually aware AI capabilities, patients can ask questions directly within the portal to better understand their health information and view chart-based insights, such as trends in labs and vitals over time,” according to an Oracle press release.
The system, built using frontier models, has guardrails that prevent the AI from providing diagnoses, medical advice, or treatment recommendations. AI-generated text is highlighted with a visual bar and the sources of the information provided are cited.
Resource from Sequoia Project addresses automated consent for sharing health information
The nonprofit Sequoia Project has released a document that provides practical guidance and tools to help organizations evaluate and implement automated, computable consent processes for sharing health information.
The document, “Operationalizing Automated Consent: Actionable Guidance for Health Care Providers, Payers, and Technology Vendors,” developed by the organization’s Interoperability Matters Privacy and Consent Workgroup, offers a “structured starting point for organizations exploring scalable, technology-enabled approaches to consent management,” according to a Sequoia Project press statement.
The guidance, available at bit.ly/4qjVnSa, outlines areas that organizations need to consider when planning for automated or computable consent, including technical standardization; workflow integration; and consumer empowerment, understanding, and trust.
Document appendices address legal elements of consent and provide a sample consent form and sample governance framework.
The Sequoia Project is a public-private collaborative that advocates for health information technology interoperability and health information exchange nationwide.