Deemea offers an AI-driven imaging platform that streamlines the collection, structuring, and interpretation of clinical imaging data, enhancing efficiency and reliability in biomedical research. The platform ensures compliance with regulatory standards while facilitating seamless data integration and analysis across multiple research centers.
Funding
$12.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinical research involving medical imaging faces challenges in data collection, structuring, and interpretation, leading to inefficiencies and potential inconsistencies across multiple research centers. Ensuring compliance with evolving regulatory standards for handling sensitive patient data adds further complexity.
Solution
Deemea offers an AI-powered imaging platform designed to streamline the entire clinical imaging data journey, from collection to interpretation. The platform facilitates smart data selection, targeted extraction, and AI-guided quality control, ensuring increased efficiency and reliability. It also supports patient history compilation, database interoperability, and personalized anonymization. Deemea's platform centralizes medical data from multiple centers, simplifying access to aggregated data, clinical trials, and research datasets, while adhering to regulatory standards for data confidentiality, security, and integrity.
Target Audience
Deemea's platform is designed for clinical research actors across various centers who need to streamline the imaging data journey and ensure compliance with regulatory standards.
Features
- Custom interfaces designed for pathology-specific data collection
- PACS-integrated tool that automates the extraction, quality control, and measurement of standardized imaging biomarkers
- Customizable dashboards for effortless tracking of patient trends
- Tools to swiftly and securely conduct autonomous feasibility studies
- Ability to combine demographic information, diagnoses, treatment records, medical procedures, and imaging analyses to build patient cohorts
- Features to identify qualified and expertized imaging databases from collaborating centers