AIMC Topic: Neurosurgical Procedures

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Incorporating New Technologies to Overcome the Limitations of Endoscopic Spine Surgery: Navigation, Robotics, and Visualization.

World neurosurgery
Recently, spine surgery has gradually evolved from conventional open surgery to minimally invasive surgery, and endoscopic spine surgery (ESS) has become an important procedure in minimally invasive spine surgery. With improvements in the optics, spi...

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...

Promises and Perils of Artificial Intelligence in Neurosurgery.

Neurosurgery
Artificial intelligence (AI)-facilitated clinical automation is expected to become increasingly prevalent in the near future. AI techniques may permit rapid and detailed analysis of the large quantities of clinical data generated in modern healthcare...

Image-guidance, Robotics, and the Future of Spine Surgery.

Clinical spine surgery
Spine surgery has seen considerable advancements over the last 2 decades, particularly in the fields of image-guidance and robotics. These technologies offer the potential to overcome the various technical challenges in spinal surgery, such as physic...

[Artificial intelligence in neurosurgery].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
BACKGROUND: Artificial intelligence (AI) in neurosurgery is becoming increasingly more important as the technology advances. This development can be measured by the increase of publications on AI in neurosurgery over the last years.

Machine learning applications for the prediction of surgical site infection in neurological operations.

Neurosurgical focus
OBJECTIVE: Surgical site infection (SSI) following a neurosurgical operation is a complication that impacts morbidity, mortality, and economics. Currently, machine learning (ML) algorithms are used for outcome prediction in various neurosurgical aspe...

An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language.

Studies in health technology and informatics
Rich-in-morphology language, such as Russian, present a challenge for extraction of professional medical information. In this paper, we report on our solution to identify adverse events (complications) in neurosurgery based on natural language proces...