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Data -based approach improves speed:
Researchers have developed a new data based on data to install prosthetic legs that could lead to better adjustment of prostheses. Furthermore, in less time and at lower cost.
The technology was developed by Radii devices. Therefore, the University of Southampton, and the results of an NHS test were published today (August 22, 2025) in JMIR rehabilitation and assistance technology.
The study shows that prosthetic members under the knee designed using the new approach were as comfortable on average as those created by highly qualified prothetists. For example, but with more coherent results. Moreover, Above all, the new method instantly generates a basic design.
Find the right adjustment – Data -based approach improves speed
The team behind the software hopes that the “socket” conceptions based on data-the link between the person. However, their prosthesis-will reduce time, the number data -based approach improves speed of iterations and the number of meetings it takes to arrive at a prosthetic member with which the patient is comfortable. Furthermore, This would not only improve patient experience, but could also help eliminate waiting lists.
Prothetical sockets are personalized to ensure that the prosthesis is comfortable, functional and safe on which to walk. Furthermore, The intake carries the whole body weight. Moreover, the dynamic forces of the person during walking, it must therefore be carefully balanced to distribute the pressure without damaging the fabric of the limbs or creating discomfort.
Traditionally. Moreover, a prothetist makes a plaster of the leg and reshapes it to produce a socket that reaches the right balance, producing test versions before setting up on a final socket. Similarly, Today, many prothetists use CAD software (computer -assisted design) in the same way. In addition, Above all, this creates a digital recording of the design process, data -based approach improves speed which the team was able to use.
Use of data to reach a personalized design
Radii Devices LTD. a spin-out company from the University of Southampton, has developed software that relies on previous prothetical sockets data to generate recommendations for the most comfortable socket form using a 3D scan of the residual member of the patient.
By analyzing hundreds of previous prosthetic conceptions. we have been able to identify the trends between the different characteristics of patients, such as the form and size of the residual limb and successful socket forms.
We can then scan the residual member of a new patient. generate a personalized design recommendation based on features that have succeeded for similar patients in the past. “”
Dr Joshua Steer, founder and CEO of Radii Devices and co-author of the study
To test the effectiveness of data -based socket conceptions, the data -based approach improves speed team carried out a study with patients from three prosthetic rehabilitation centers of the NHS. Seventeen patients received a testing designed by a prothetist and a designed using the new method. They were then asked to compare the comfort of the catches. giving them one score in ten, and interviewed on their experience in adjusting the sockets.
The study revealed that there was no difference in comfort scores on average. and less variation in the comfort of data -based sockets. Several participants preferred to adjust the data design based on data when asked for comments. and had transformed it into a final prosthesis.
Work with prostheses
Design recommendations are not intended to be used alone in clinical practice. Instead, the team plans with prostheses working with technology to further improve patient experience.
Alex Dickinson. professor of prostheses engineering at the University of Southampton, helped develop the new method and the data -based approach improves speed basis of evidence behind it. He said: “3D analyzes can tell us a lot about the form of the residual limb from the outside. but they don’t tell us what’s going on under the skin. Only a highly qualified prothetist can identify things such as bone spurs. neuromas, and know how to modify conceptions to avoid causing pain or damage in these sensitive areas.
“We have developed the data design approach based on data to save prothetists by giving them a solid base from work so that they can use their expertise where it is the most precious. to make specific adaptations adapted to the specific needs of their patients. The method effectively helps prothetists to learn from each other. »»
Nearly 100 people now have a prosthetic leg designed in this way. in several centers in the United Kingdom and the United States.
The project team included physiotherapists, health data -based approach improves speed scientists and software engineers.
Maggie Donovan-Hall. professor of psychology in prostheses and orthosis at the University of Southampton and co-author of the study, said: “This study was designed to test the use of the” worst case “of data-based socket conceptions, without additional contribution of prostheses.
“The fact that they have performed so well in these circumstances is both surprising. encouraging, but the real value of this tool is to quickly give the Prothetist a starting design, which means that they can spend much more time working with their patient to perfect the more complex and personalized aspects of the design. This is what prostheses spend years learning and are the most crucial for the experience of their patients. »»
The last step in this study is now underway. where the software interface is being developed with clinicians to provide them with the most effective way to incorporate data -based socket data -based approach improves speed conceptions into their practice.
Sockets generated by evidence for transtibial prosthetic members in relation to computer -assisted conventional conceptions: a study of several methods from the patient’s point of view is published in Jmir Rehabilitation. Assist Technology.
The work was supported by Innovate UK. the Institute of Life of the University of Southampton, Orthopic UK research and the Royal Academy of Engineering.
Data -based approach improves speed
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