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

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...

The Many Ways that AI Enters Rheumatolog…

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential...