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Center for Dental Medicine

Dental eHealth in Reconstructive Dentistry

The unit for Dental eHealth in Reconstructive Dentistry strives to improve oral health across all populations. The primary aim is to define minimal standards of care based on the structured collection and analysis of health data; and secondary, the development of predictive models for treatment planning and outcome simulation in reconstructive and implant dentistry. The group intends to conduct cutting-edge research with a translational approach in continuous exchange with top-class universities, MedTech industry and start-ups.

Multi-disciplinarity, agility and innovation are the core competences. The unit is internationally networked and combines oral health with medicine, economics, data science as well as biomedical engineering using artificial intelligence (AI) and machine learning (ML). With our research we aim to promote personalized reconstructive and implant dentistry based on evidence and paired with structured health data: safe, trustworthy and reliable.

Areas

  • AI and ML in reconstructive and implant dentistry
  • Health services research and data dentistry
  • Registry-based clinical trials (RBCT)
  • Sensors and wearables for patient monitoring
  • Evolution from evidence-based to personalized reconstructive dentistry
  • Creating predictive models and treatment simulation with “digital twins“
  • Platform for “tele-dentistry”

Research Staff

Jung Ronald E., Prof. Dr. med. dent., PhD
Joda Tim, Prof. Dr. med. dent., PhD, MSc, MBA
Balmer Marc, Dr. med. dent.
Bienz Stefan, Dr. med. dent.
Hjerppe Jenni, Dr. med. dent., PhD
Ioannidis Alexis, PD Dr. med. dent.
Kraus Riccardo D., Dr. med. dent.
Mühlemann Elena, Dr. med. et med. dent.
Naenni Nadja, PD Dr. med. dent.
Paqué Pune Nina, PD Dr. med. dent.
Settecase Eugenia
Schellenberg Roman, Dr. med. dent.
Thoma Daniel S., Prof. Dr. med. dent.
Zürcher Anina Nives, Dr. med. dent.

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