Bone & Joint Research
Our study focused on predicting periprosthetic femoral fractures following total hip replacement surgery. Dr Hadi Alagha analysed data from over 154,000 procedures to identify risk factors such as age, weight, health status, and implant fixation method. The results demonstrated that machine learning can predict these fractures more accurately, helping physicians make better decisions and improve patient outcomes.
Journal of Arthroplasty
A recent study led byDr Hadi Alagha analysed data from over 60,000 patients in the Swedish Arthroplasty Register to compare cemented versus uncemented hip implant fixation in elective total hip replacement surgeries.
The results showed that uncemented fixation was associated with a lower risk of death within two years, but a higher likelihood of revision surgery and periprosthetic fractures compared to cemented fixation.
Conclusion: The choice of hip implant fixation should be tailored to each patient’s condition and surgical priorities to achieve the best outcomes and minimize complications.
Bioengineering Journal
A recent study led by Dr Hadi Alagha and his team examined the use of machine learning models to predict patient outcomes two years after knee osteoarthritis, with or without medical imaging data such as X-rays and MRI scans.
Data from over 3,000 patients across international databases were analyzed. The study found that models using only clinical data performed similarly to those including imaging data. Key factors influencing outcomes included educational background, family history of osteoarthritis, comorbidities, use of osteoporosis medications, and prior knee procedures.
Conclusion: These findings demonstrate that machine learning models can accurately predict patient outcomes even without medical imaging, potentially simplifying follow-up and saving time for both patients and physicians.
Bioengineering Journal
We conducted a study testing a 3D preoperative planning software for hip resurfacing surgery. The software allows for better visualisation of anatomical landmarks and accurate implant sizing, reducing surgery time and potential complications.
The software was tested on 50 cases by two surgeons. Results showed that 3D planning was accurate and reliable, with high inter-rater agreement and significant improvements in implant size estimation and fixation angles compared to 2D planning.
Conclusion: Using 3D surgical planning can enhance the quality and precision of hip resurfacing procedures, while increasing surgeon confidence during the operation.
