Objective: The objective of this study was to compare the clinical outcome of minimally invasive transforaminal lumbar interbody fusion (MIS TLIF) versus standard revision diskectomy for recurrent lumbar disk herniation (RLDH).
Background: RLDH is the most common cause of redo surgery after a microdiscectomy. Commonly, in patients without evidence of spinal instability, many surgeons would simply redo microdiscectomy, while others proceed to a redo microdiscectomy with arthrodesis.
Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderly patients. The ability to predict the functional outcome in these patients can be helpful in supporting treatment decisions and establishing prognostic expectations. We evaluated the performance of a machine learning (ML) model to predict the 6-month functional status in elderly patients with ICH leveraging the predictive value of the clinical characteristics at hospital admission.
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