LivAi provides a cloud‑based AI platform that automatically segments and quantifies tumors from standard MRI scans, delivering volumetric and phenotypic reports within seconds. The service integrates with PACS and EHR systems via DICOMweb and FHIR APIs and includes a biomarker analytics module for patient stratification and clinical trial monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Oncologists and radiologists often rely on manual interpretation of MRI scans, which can be time‑consuming, subject to inter‑observer variability, and limited in extracting quantitative biomarkers needed for prognosis and treatment decisions. Pharmaceutical researchers similarly lack scalable tools to derive imaging‑based biomarkers for patient selection and trial monitoring, slowing drug development cycles.
Solution
LivAi delivers cloud‑based artificial‑intelligence software that automates detailed tumor assessment from standard MRI data. The MRAI Diagnostic Solutions provide instant, AI‑generated reports that quantify tumor size, morphology, and functional characteristics, supporting real‑time clinical decision‑making throughout the patient journey. For pharmaceutical and research users, the MRAI Analytics Platform extracts imaging biomarkers, enabling automated inclusion/exclusion criteria, patient stratification, and longitudinal monitoring within clinical trials. All services are accessed via a secure, web‑based portal that integrates with existing radiology workflows and electronic health record systems, ensuring continuous availability of results without disrupting current clinical processes.
Target Audience
Primary customers are hospital oncology departments, radiology clinics, and individual oncologists who need rapid, quantitative imaging insights, as well as pharmaceutical companies and contract research organizations conducting oncology clinical trials.
Features
- Deep‑learning models trained on large oncology MRI datasets for automated segmentation, volumetrics, and phenotype extraction
- Real‑time inference engine delivering results within seconds of image upload
- Cloud‑native architecture with HIPAA‑compliant encryption and role‑based access controls
- PACS and EHR integration via DICOMweb and FHIR APIs for seamless data flow
- Biomarker analytics module that generates reproducible imaging endpoints for trial eligibility and response assessment
- Multi‑user web dashboard offering customizable visualizations, trend graphs, and exportable reports
- Scalable SaaS platform supporting batch processing for high‑volume research studies