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Read more about 20 Years of COMI: Because treatment success is more than just an X-ray
Dr. med. Manuel Jung

20 Years of COMI: Because treatment success is more than just an X-ray

How can we determine whether spinal surgery has truly been successful? Not just from the perspective of the treatment team, but from the patients’ perspective? A patient questionnaire was developed at the Schulthess Klinik precisely for this purpose. For two decades, the so-called COMI-back has been helping to reveal how patients are really faring after surgery on the lumbar spine.

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Read more about Learning together without exchanging data
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Learning together without exchanging data

The more an artificial intelligence learns, the better it can support doctors. To do this, it requires large amounts of data. But how can this be reconciled with the protection of sensitive patient data? A study led by the Schulthess Clinic shows how several hospitals can train AI models together without exchanging sensitive data. 

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Read more about Spinal research: Early detection of wound infections
Studie Infektionen

Spinal research: Early detection of wound infections

It is often difficult to detect a wound infection early on following spinal surgery. Researchers at the Schulthess Klinik and the AO Research Institute Davos have now discovered characteristic changes in the immune system that indicate an infection at an early stage. These findings will help to better identify wound infections following surgery and thus avoid unnecessary follow-up procedures.

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Read more about Spine research: Comparing patient experiences
Markus Loibl

Spine research: Comparing patient experiences

We’ve been asking patients how they feel after operations in the form of special patient questionnaires for over 20 years. For the first time, we’re now comparing the results from two different questionnaires relating to the cervical spine. This is an important development in spine research because it will help us to understand which operations genuinely help patients.

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Read more about Research: Automatic calculation of cervical spine parameters using deep learning
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Research: Automatic calculation of cervical spine parameters using deep learning

Researchers at the Schulthess Clinic have co-authored a study that examines a model that allows for more accurate, automatic measurement of spinal parameters during X-rays. The model is based on deep learning and supports surgeons in particular in the diagnosis of adjacent segment disease.

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Read more about Research award: Successful therapy for painful lateral disc herniation from a patient’s perspective
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Research award: Successful therapy for painful lateral disc herniation from a patient’s perspective

A Schulthess Klinik research group has received the «Outstanding Special Poster» award from the International Society for the Study of the Lumbar Spine for its research report on a therapy for painful lateral disc herniation.

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