PathAI Enhances Digital Pathology Platform with Guided Algorithm Review and Z-Stack Image Support

By Trinzik

TL;DR

PathAI launches new features on AISight IMS, giving pathologists an edge with Guided Algorithm Review and Z-Stack Image Support.

Guided Algorithm Review pinpoints potential Fields of Interest, streamlining case evaluations and enhancing interpretability with a visual gallery and click-through review.

PathAI's new features empower pathologists to conduct high-quality assessments with efficiency and precision, enhancing and streamlining case management in modern pathology labs.

PathAI introduces Z-Stack Image Support, providing multi-layer imaging capability for a 3D-like representation of slides, particularly beneficial in cytology cases.

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PathAI Enhances Digital Pathology Platform with Guided Algorithm Review and Z-Stack Image Support

PathAI has launched two significant features on its AISight Image Management System: Guided Algorithm Review and Z-Stack Image Support, representing substantial advancements in AI-powered digital pathology tools. The Guided Algorithm Review feature helps pathologists streamline case evaluations by highlighting potential Fields of Interest identified by algorithms, with TumorDetect being the first AI product to incorporate this functionality. This approach allows pathologists to focus their initial review on regions requiring the most attention, potentially improving efficiency and thoroughness.

The feature includes a visual gallery of algorithm-detected fields of interest, enabling intuitive navigation to key tissue areas. The click-through review capability provides systematic, step-by-step navigation through regions highlighted by AI predictions, such as areas with high tumor concentration or biomarker quantification. Enhanced interpretability through overlays and side-by-side comparisons improves clarity of AI predictions, while third-party AI integration allows seamless work with various AI solutions through the unified platform available at https://www.pathai.com/.

Z-Stack Image Support introduces multi-layer imaging capability that enables pathologists to examine all layers of multi-layered Whole Slide Images, producing 3D-like representations particularly beneficial for cytology cases involving three-dimensional cell clusters. This feature provides multi-layer viewing similar to microscope fine focus, with efficient navigation through focus control and keyboard shortcuts for smooth transitions between image layers. The customizable workflow allows personalization with adjustable zoom, pan, and annotation features, along with visual progress tracking indicators.

PathAI has also upgraded its ArtifactDetect algorithm, broadening support for additional file types including .mrxs format files and stains such as Masson's Trichrome and other special stains. These improvements enable laboratories to apply quality control measures across a wider range of specimens and staining protocols. Additional AISight enhancements include a refreshed user interface with categorized tables for clearer quantitative results, custom slide panning with enhanced control features, and automatic specimen orientation that rotates skin specimens based on metadata for consistent evaluations.

Curated from News Direct

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Trinzik

Trinzik

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Trinzik AI is an Austin, Texas-based agency dedicated to equipping businesses with the intelligence, infrastructure, and expertise needed for the "AI-First Web." The company offers a suite of services designed to drive revenue and operational efficiency, including private and secure LLM hosting, custom AI model fine-tuning, and bespoke automation workflows that eliminate repetitive tasks. Beyond infrastructure, Trinzik specializes in Generative Engine Optimization (GEO) to ensure brands are discoverable and cited by major AI systems like ChatGPT and Gemini, while also deploying intelligent chatbots to engage customers 24/7.