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Risk factors for predicting increased surgical drain output in patients after anterior cervical corpectomy and fusion.

Journal of orthopaedic surgery and research
BACKGROUND: Although measures to reduce and treat the postoperative surgical drain output are discussed, along with the increased interest in causative factors related to the prevention and treatment reported by many studies, these are still controve...

Use of artificial neural networks to predict recurrent lumbar disk herniation.

Journal of spinal disorders & techniques
BACKGROUND: The aim of this study was to develop an artificial neural network (ANN) model to predict recurrent lumbar disk herniation (LDH).

Automatic matching of surgeries to predict surgeons' next actions.

Artificial intelligence in medicine
OBJECTIVE: More than half a million surgeries are performed every day worldwide, which makes surgery one of the most important component of global health care. In this context, the objective of this paper is to introduce a new method for the predicti...

Finding discriminative and interpretable patterns in sequences of surgical activities.

Artificial intelligence in medicine
OBJECTIVE: Surgery is one of the riskiest and most important medical acts that is performed today. Understanding the ways in which surgeries are similar or different from each other is of major interest to understand and analyze surgical behaviors. T...

Robot-assisted multi-level anterior lumbar interbody fusion: an anatomical study.

Acta neurochirurgica
BACKGROUND: Minimally invasive surgical approaches still provide limited exposure. Access to the L2-L5 intervertebral discs during a single procedure is challenging and often requires repositioning of the patient and adopting an alternative approach.