Lab profile
About EKFZ
The EKFZ for Digital Health accelerates the digitalization of medicine by conducting interdisciplinary research driven by specific medical needs with direct access to medical infrastructure. The center brings together expertise from medicine, engineering, and computer science to develop digital health solutions that ultimately benefit patients.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- GRAILGeneralizable and Clinically Relevant AI Approaches for Surgical Video Analysis in Real-World Healthcare Settings, focusing on surgical quality assurance and regulatory-compliant integration of AI-based methods.
- ASSESS DHTDevelopment and harmonization of methodologies for assessing digital health technologies in Europe.
- CYMEDSECEnhanced cybersecurity for networked medical devices through optimisation of guidelines, standards, risk management and security by design.
- IntelliLungArtificial intelligence to help optimize ventilation of intensive care patients.
- DECADEDecentralized AI for diagnosis, prognostication and response prediction in CRC.
- KIMEDSArtificial Intelligence assisted certification of medical software.
- ODELIAOpen Source Swarm Learning to Empower Medical AI.
- PATHPersonal Mastery Health & Wellness Data.
- TangerineAI-based end-to-end prediction of cancer immunotherapy response.
- Transform LiverScaling up Vision Transformers for Biomarkers in Liver Disease.
- SEMECOSecure Medical Microsystems and Communications.
- DECIPHER-MDeciphering Metastasis with Multimodal Artificial Intelligence Foundation Models.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- CYMEDSEC Cybersecurity Performance in Remote Patient Monitoring Systems in a Live Hospital Setting: Protocol for an Observational Study.JMIR research protocols · 2026
- Accelerating equitable cancer genomics and precision oncology in health care and research: a Lancet Oncology Commission.The Lancet. Oncology · 2026
- Intelligent Lung Support in the Intensive Care Unit (IntelliLung): study protocol for an international observational, prospective, multicentre study.BMJ open · 2026
Clinical-trial records
- Intelligent Lung Support in the Intensive Care UnitNCT06595602 · Recruiting
- Clinic Waiting Room-based Study of Swahili Language Artificial Intelligence-driven Symptom Assessments in Tanzanian Primary Health Care FacilitiesNCT04958577 · Status unknown
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- Dresden Science Night 2026Eventdigitalhealth.tu-dresden.de
- EASL Summer School in DresdenEventdigitalhealth.tu-dresden.de
- Researchers Advance Privacy-Preserving AI for Patient-Level Analysis of Surgical VideosNewsdigitalhealth.tu-dresden.de
- Europe needs stronger regulatory science for medical AI and MedTechNewsdigitalhealth.tu-dresden.de
- Large Language Models in Medicine: New Review Analyzes Risks and Strategies for Safe Use in Clinical PracticePublicationdigitalhealth.tu-dresden.de
- Prof. Kai Markus Schneider Receives ERC Starting GrantAwarddigitalhealth.tu-dresden.de
- Open Doors at Saxon MinistriesEventdigitalhealth.tu-dresden.de
- On-premise medical AI agent for reliable clinical decision supportNewsdigitalhealth.tu-dresden.de
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.