DESSOS

The objective of the DESSOS is to develop decision support software for orthopaedic surgery so as to reduce variability in surgical outcome and maximise the longevity of orthopaedic devices and in particular, total knee replacements.

Across the EU there are approximately 540,000 knee replacement operations per year. 5-10% of these will require re-operation after 10 years. A significant proportion of implanted knees have abnormal kinematics and this may accelerate the failure process. Variability in patient outcome is highly dependent upon the experience and skill of the individual surgeon, and there are at present no knowledge-based systems available to assist during the planning of an operation that take patient-specific data into account.

The main objective of DESSOS is to develop both knowledge, and the software tools that encapsulate that knowledge, in order to provide orthopaedic surgeons with appropriate information to make informed choices related to implant orientation and placement.

Specifically, DESSOS aims to:

  • Develop rapid methods for generating patient-specific models of the lower limb.
  • Develop rapid musculo-skeletal models capable of predicting forces for everyday activities.
  • Develop rapid numerical models capable of predicting the kinematics and stresses experienced by the knee replacement.
  • Determine the likely envelope of performance for a particular patient.
  • Develop optimisation strategies to identify the implant orientation which would maximise the longevity of the device.

For further information, please visit:
http://www.dessos.org

Project co-ordinator:
University of Southampton

Partners:

  • University of Southampton (UK)
  • Charité, University Medicine Berlin (DE)
  • Leiden University Medical Centre (NL)
  • University of Zaragoza (ES)
  • ESI (FR)
  • Finsbury Orthopeadics (UK)
  • PERA (UK)
  • DePuy International (UK)
  • Zuse Institute Berlin (DE)

Timetable: from 01/06 - to 12/08

Total cost: € 4.617.143

EC funding: € 3.981.216

Instrument: STREP

Project Identifier: IST-2004-27252

Most Popular Now

ChatGPT Extracts Data for Ischaemic Stro…

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must...

Herefordshire and Worcestershire Health …

Herefordshire and Worcestershire Health and Care NHS Trust has successfully implemented Alcidion's Miya Precision platform to streamline bed management workflow across seven community hospitals in Worcestershire. The trust delivers community...

A Shortcut for Drug Discovery

For most human proteins, there are no small molecules known to bind them chemically (so called "ligands"). Ligands frequently represent important starting points for drug development but this knowledge gap...

New Horizon Europe Funding Boosts Europe…

The European Commission has announced the launch of new Horizon Europe calls, with a substantial funding pool of over €112 million. These calls are aimed primarily at pioneering projects in...

Cleveland Clinic Study Finds AI can Deve…

Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on...

New AI-Technology Estimates Brain Age Us…

As people age, their brains do, too. But if a brain ages prematurely, there is potential for age-related diseases such as mild-cognitive impairment, dementia, or Parkinson's disease. If "brain age...

With Huge Patient Dataset, AI Accurately…

Scientists have designed a new artificial intelligence (AI) model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease. The model...

Radboud University Medical Center and Ph…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Radboud University Medical Center have signed a hospital-wide, long-term strategic partnership that delivers the latest patient monitoring...

GPT-4, Google Gemini Fall Short in Breas…

Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports classification that could have a negative effect on patient management, according to a new international...

ChatGPT fails at heart risk assessment

Despite ChatGPT's reported ability to pass medical exams, new research indicates it would be unwise to rely on it for some health assessments, such as whether a patient with chest...

Study Shows ChatGPT Failed when Challeng…

With artificial intelligence (AI) poised to become a fundamental part of clinical research and decision making, many still question the accuracy of ChatGPT, a sophisticated AI language model, to support...

Virtual Reality Shows Promise in Fightin…

A new study published in JMIR Mental Health sheds light on the promising role of virtual reality (VR) in treating major depressive disorder (MDD). Titled "Examining the Efficacy of Extended...