Open Call Winners
Open Call #2 – Call for pilots
Through Open Call #2 – EXPERIMENT, HosmartAI aimed to increase the outreach and adoption of the HosmartAI platform, by supporting the deployment of new pilots, within various types of healthcare entities.
Four pilots/proposals were selected to join the HosmartAI 12-month programme, to Design, Develop, Deploy, Operate and Assess their AI/Robotics pilots for smart healthcare.
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| Sics: Smart Intraoperative Clinical Surveillance | |
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Heart bAIt will develop and offer an AI service for personal data digestion based on heart rate patterns, detected and computed on the smartphone. |
SICS Consortium develops an AI-powered clinical decision-support system that predicts intraoperative complications and supports anaesthesiologists making timely and accurate decisions during a surgical operation. |
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SoftLungX: Software for Diagnosis of Lung Diseases from Chest X-ray Images |
VoiceAI: Prediction of Major Depressive Disorder using Vocal Biomarkers |
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SoftLungX aims to develop deep learning model for classification of patients’ radiological scans of lungs into multiple distinct respiratory diseases and risk classes based on the severity of the disease. |
Improving mental health screening and management using AI-enabled vocal biomarkers technology |
Open Call #1 – Call for tech
Open Call#1 – INNOVATE Call for Tech was looking for Startups/SMEs developing technology components usable in AI-powered healthcare solutions. Four proposals were selected to join the HosmartAI 6-month programme, to design, develop and integrate their health-interoperable technologies into the HosmartAI’s platform.
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| FHIR-DIET: FHIR De-Identification and Pseudonymization Tool | |
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EMMA minimizes physicians burnout on Emergency Departments by providing optimized patients’ triage and monitor. |
De-Identification and Pseudonymization of FHIR data made easy |
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Secure Establishment of Group Testing Network Across Nations |
SmartMap SNOMED: HosmartAI smart data mapper – semi-automated mapping utility for SNOMED CT |
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An Open-Source Java-based Federated Database System on a FHIR Server to Securely Connect Healthcare Centers across Europe. |
AI powered application, that automates the time consuming and error prone process of data mapping |
