Picture Health unlocks the power of medical imaging with novel AI tools, providing enhanced analysis and insights for cancer diagnosis, prognosis, treatment selection, and tumor monitoring. Px turns routine clinical images into a rich data source, revealing new insights and maximizing the potential of every pixel. We designed Picture Health specifically to support radiologists, pathologists, and oncologists in providing the best care to cancer patients.

Proven
Tech:

25
Patents

52+
Papers & Abstracts

Picture Health unlocks the power of medical imaging with novel AI tools, providing enhanced analysis and insights for cancer diagnosis, prognosis, treatment selection, and tumor monitoring. Px turns routine clinical images into a rich data source, revealing new insights and maximizing the potential of every pixel. We designed Picture Health specifically to support radiologists, pathologists, and oncologists in providing the best care to cancer patients.

Proven Tech:

25 Patents

52+ Papers & Abstracts

Why Picture Health?

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Shorter Turnaround Time

Px AI provides insights in minutes without additional lab tests.

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Routine Clinical Images

We use images you already have, so your workflow stays the same.

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Flexibility in modalities

We can use digital pathology images, CT scans or the combination of both

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Real-time Guidance

Our AI provides actionable information to the clinician.

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What is Px?

Px is a new concept building on a decade of scientific research which utilizes imaging data more effectively. It takes advantage of the latest advancements in digitization and AI to analyze biologically relevant features that cannot be quantified manually to provide new insights into the tumor and its surrounding environment. This powerful platform can help researchers uncover novel biomarkers to eventually better inform doctor’s decisions about their patient’s care. And the best part is, Px is applied to images that are routinely available and don’t require any separate orders or changes to existing workflows.

News

  • Two Northeast Ohio startups among winners of Cleveland Clinic’s Quantum Innovation Catalyzer Program

    Published on: 05/03/2024

  • Communications Medicine

    Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies

    Published on: 01/03/2024

  • TEDxAtlanta

    Could AI find your cancer? | Anant Madabhushi | TEDxAtlanta

    Published on: 09/27/2023

  • NPJ Breast Cancer

    Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer

    Published on: 08/11/2023

  • ASCO Abstract, Abstract

    Association of single-click radiomic classifier with response and prognosis in non-small cell lung cancers (NSCLC) treated with immune checkpoint inhibitors

    Published on: 06/09/2023


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