Reimagining Cancer Discovery with AI-Powered Image & Medical Records Analysis
Built to Uncover Unidentified Cancers
RADLogics applies AI-powered analysis to archived medical imaging data and medical records, surfacing cancers that were previously missed — giving cancer centers the ability to act on findings that would otherwise go undetected.
Our Mission
RADLogics is dedicated to reimagining cancer discovery by leveraging artificial intelligence to analyze archived medical imaging and records data. We help cancer centers uncover unidentified cancers, mitigate risk, and generate new revenue — all while improving patient outcomes.
What We Do
RADLogics applies advanced artificial intelligence to archived medical imaging and electronic health records — surfacing cancers that were previously missed, reducing liability exposure, and generating new revenue for cancer centers.
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AI Image Analysis
Apply advanced AI algorithms to archived CT, MRI, and PET scans to surface previously unidentified cancer findings with high accuracy.
Medical Records Analysis
Analyze structured and unstructured EHR data to identify patients at elevated cancer risk who may have been overlooked.
Risk Mitigation
Proactively identify missed findings before they become adverse events, reducing liability exposure for your organization.
Revenue Generation
Convert archived imaging data into actionable findings that drive new patient encounters and measurable revenue.
How It Works
Data Ingestion
We securely connect to your existing PACS and EHR systems to access archived imaging and records data — no disruption to clinical workflows.
AI Analysis
Our AI models analyze the imaging and medical record data, flagging findings that meet clinical significance thresholds for further review.
Clinical Review
Flagged findings are routed to your oncologists for confirmation, ensuring every result is clinically validated before action.
Patient Outreach
Confirmed findings trigger patient outreach workflows, connecting at-risk patients with the care they need.
Resources
Access case studies and clinical evidence supporting RADLogics AI solutions.
Publications
Evaluation Of Sequential AI Risk Scoring For Malignancy Prediction In Indeterminate Lung Nodules
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Incidental Findings Are Common with Chest CT and MRI of the Spine and Brain
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MRI-Based Screening for Asymptomatic Brain Tumors: A Review
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Evidence-Based Cancer Imaging
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First, Do No Harm in Responding to Incidental Imaging Findings
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Contact Us
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