Picture Health develops AI tools that analyze routine clinical images, transforming them into rich data sources for cancer diagnosis, prognosis, treatment selection, and tumor monitoring. By utilizing existing imaging data, the platform provides real-time insights that enhance clinical decision-making without altering current workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Cancer diagnosis, prognosis, treatment selection, and tumor monitoring rely on comprehensive data analysis, but extracting actionable insights from routine clinical images can be time-consuming and subjective. Traditional methods may not fully leverage the wealth of information contained within these images, potentially leading to suboptimal clinical decisions.
Solution
Picture Health provides AI-powered tools that analyze routine clinical images, transforming them into rich data sources for enhanced cancer care. The platform extracts biologically relevant features from digital pathology images and CT scans, quantifying aspects of the tumor and its surrounding environment that are not easily assessed manually. By applying advanced AI algorithms, Picture Health generates real-time insights that support radiologists, pathologists, and oncologists in making more informed decisions. The technology integrates seamlessly into existing clinical workflows, utilizing images that are already routinely available without requiring additional tests or changes to established procedures.
Target Audience
The primary users are radiologists, pathologists, and oncologists involved in cancer diagnosis, prognosis, treatment selection, and tumor monitoring.
Features
- AI-driven analysis of digital pathology images and CT scans
- Quantification of biologically relevant features within the tumor microenvironment
- Real-time insights delivered directly to clinicians
- Seamless integration into existing clinical workflows
- Identification of novel biomarkers for improved cancer diagnosis and prognosis
- Multimodal AI biomarker fusion of radiology, pathology, and molecular information