Telepathology Platform

Data-Driven Workflow Management for Modern Telepathology

The ROSEAId cloud-based platform provides robust tools for secure pathology image data management, collaborative review, and distributed team coordination. This enterprise infrastructure enables secure digital case sharing and seamless multi-site visibility across authorized devices and locations.

Data-Driven Workflow Management for Modern Telepathology

The ROSEAId cloud-based platform provides robust tools for secure pathology image data management, collaborative review, and distributed team coordination. This enterprise infrastructure enables secure digital case sharing and seamless multi-site visibility across authorized devices and locations.

About

Your Gateway to Advanced Telepathology Our cloud-based, enterprise Telepathology platform is a suite of modular solutions supporting pathology image management, multi-site collaboration and laboratory workflows. Our flexibility, customization and scalability ensure our solution aligns perfectly with your unique requirements, supporting operational efficiency and collaborative pathology workflows

Holistic Approach to Various Challenges

Pathologists face operational and workflow challenges and operational efficiencies from navigating complex regional regulations to managing costly operations. Practitioners struggle with limited access to essential pathology tools and slow second opinions leading to delayed case reviews. The logistics of handling glass slides poses additional hurdles, effecting both the security and affordability of work. Simultaneously, data management coupled with high expenses for storage, review and retrieval further complicate the situation. Our solutions address these pressing issues providing streamlined and cost-effective solutions, empowering healthcare professionals to improve workflow efficiency, speed operational throughput and support laboratory operations and collaboration.

Research Platform Components

Control Center

A centralized platform to manage, access, review, retrieve, and organize pathology image data and associated records.

Data Manager

Continual Enrichment of Enterprise Data
Seamless handling captured field-of-view images and videos
Connecting across proprietary laboratory systems

Report Manger

Generates

Comprehensive case documentation,
Digital Image annotations,
Laboratory records associated with captured pathology images
Supports ad-hoc and scheduled reporting workflows

Workflow Manager

Minimize lost time, increased operational efficiency and revenues
Significantly increase analytical throughput
Streamlines image data management and collaborated review within existing clinical workflow processes

Ecosystem integration Partners

System-Agnostic Architecture
Leverage existing Microscopes
Secure API’s

Health Care Providers Partner Network

Interface with Hospital Information Systems
Link Patient’s charts to field-of-view images and incoming Laboratory data feeds (Cytology, microbiology, urinalysis, pap smears, etc.)
Provider Proprietary Systems

Use Cases

ROSEAId, Inc. and the University of Texas Health Sciences Center (UTHealth), Houston, Texas, combine their expertise in a collaborative effort to optimize the precision and scope of pathology research, overcoming challenges posed by intricate data sets and diverse structural complexities. Details on a few mentioned use cases are provided below.

ROSEAId explored Pancreatic Solid Lesions (PSL), training ML models with 1,200 images, refining image acquisition and ML processes. Followed by initiation in subsequent stages of single-cell identification, amended labelling, development of list of cell types and multi cell scenario capturing diverse combinations in pancreatic lesions. The model demonstrated its capabilities achieving high-rate accuracy in a blind test.

Preliminary Study Draft and Unified Model drafts titled ‘AI-based ROSEAId vs. Physician Interpretation in EUS-FNA’ showed 92.5% accuracy. A unified model approach improved analysis accuracy, extracting insights from sparse images.

Subepithelial Lesions (GI) and Lung Lesions (CT-Guided EBUS) comprehensive study was completed affirming the effectiveness of the unified model with 93.25% accuracy.

Why Choose ROSEAId for Your Pathology Solutions ?

Our platform addresses today’s pathology workflow challenges by supporting productivity, operational efficiency, and collaborative review processes. Designed to streamline laboratory workflows, the platform helps reduce administrative complexity, improve access to high-definition pathology images, and enhance data organization across distributed teams. ROSEAId also supports quality assurance, case documentation, and secondary consultation initiatives by providing secure access to historical case information.

Conclusion

ROSEAId, Inc. is committed to advancing pathology workflows through technology, innovation, and strategic collaboration. We have developed a cloud-based platform designed to support pathology image management, remote collaboration, and workflow efficiency. Our long-term vision is to explore innovative technologies that may further streamline pathology workflows, and collaborative review processes, with future capabilities remaining subject to research, validation, and applicable regulatory clearances.

Transforming Pathology with AI into the Digital Future

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