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Intraoperative Neurophysiology

The use of electrophysiological technologies to monitor the functional integrity of particular brain regions during surgery is known as intraoperative neurophysiological monitoring (IONM) or intraoperative neuromonitoring. During the procedure, various intraoperative neurophysiological monitoring techniques evaluate the function of the brain, brainstem, spinal cord, cranial nerves, and peripheral nerves. They are extremely useful in detecting and preventing brain injury. Intraoperative monitoring is increasingly commonplace in medical practise, and it's used to assess the risk of brain impairment during a variety of surgical operations. IONM makes use of a wide range of physiological principles, each with its own set of applications that are frequently combined in the same procedure to improve patient outcomes.The adoption of various neuromonitoring techniques throughout the extra surgical procedure has increased as the benefits of monitoring became clear. IOM has been used to try to avoid or reduce substantial postoperative deficits by minimising neurological injury during surgery, identifying critical brain structures in the operational field, and so on.

Sub-tracks:
•   Neuromonitoring
•   Electroencephalography (EEG)
•   Electromyography (EMG)
•   Somatosensory evoked potential (SSEP)
•   Motor evoked potential (MEP)
•   Brainstem auditory evoked potential (BAEP)
•   Visual evoked potential (VEP)

Market Analysis : The global Intraoperative Neurophysiology (IONM) market is expected to grow at a CAGR of 5.5% to 8.9% from 2025 to 2030, driven by the increasing need for real-time neural monitoring in complex surgeries. Factors such as an aging population, efforts to reduce surgical risks, and advancements like AI integration are accelerating growth. While North America remains the largest market, the Asia-Pacific region is projected to grow the fastest due to rising healthcare spending and infrastructure improvements. Outsourced monitoring services are also expected to see higher-than-average growth.

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