What is Artificial intelligence in Neurology Operating Room Market

Artificial intelligence (AI) is a field of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence. It encompasses various technologies such as natural language processing, speech recognition, expert systems, and machine vision. AI systems rely on advanced hardware and software to build and train machine learning (ML) algorithms. These algorithms enable AI systems to perform complex tasks, minimize errors, and automate various processes without the need for human intervention. AI technology plays a crucial role in collecting and analyzing large volumes of labeled training data to identify patterns and correlations, which are then used to make predictions and decisions. In addition, AI technology is utilized in specific domains such as neurology operating rooms, where it enhances surgical performance, reduces errors, and improves patient outcomes in neurosurgery.

How Big Is the Artificial intelligence in Neurology Operating Room Market?

The global Artificial intelligence (AI) in Neurology Operating Room market reached a value of US$ 30.13 Million in 2022. It is projected to reach a value of US$ 346.44 Million by 2028, exhibiting a CAGR of 49.69% during 2023-2028.

Artificial intelligence (AI) in Neurology Operating Room Market Trends and Drivers:

The increasing demand for artificial intelligence (AI) in the neurology operating room is driven by various factors. One primary driver is the need to predict prognosis, identify potential complications, and track data for better aftercare and recovery. AI technology is widely used to determine risk factors and indicate cardiac and wound complications, as well as mortality, in patients undergoing anterior cervical discectomy and fusion (ACDF). Additionally, AI plays a crucial role in diagnosing epilepsy, tumor types such as glioma, acute ischemic events, and cerebral aneurysms. The technology is also gaining popularity in research centers of neurosurgery, where it enables the collection, analysis, processing, and dissemination of data. Furthermore, there is a growing demand for robotic surgeries that are minimally invasive, resulting in quick recovery and minimal blood loss, which is expected to further drive the adoption of AI in the neurology operating room.

What Is Included In Market Segmentation?

The report has been segmented the market into following categories:

Offering Insights:

• Hardware
• Software-as-a-Service (SaaS)

Technology Insights:

• Machine Learning (ML) and Deep Learning
• Natural Language Processing (NLP)
• Others

Indication Insights:

• Neurotechnology
  • Neuromonitoring
  • Neuromodulation
  • Neurofeedback
  • Neuro-Pharmacology
  • Other Neurotechnology Indications
• Neurosurgery
  • Functional Neurosurgery
  • Other Neurosurgery

Application Insights:

• Training
• Diagnosis
• Surgical Planning and Rehabilitation
  • Pre-Operative
  • Intra-Operative
  • Post-Operative
• Outcomes and Risk Analysis
• Integration and Connectivity
• Others

End User Insights:

• Hospitals
• Ambulatory Surgical Centers
• Others

Regional Insights:

• North America
  • United States
  • Canada
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

The report provides a comprehensive analysis of the industry key players listed below:

Activ Surgical, Caresyntax Corporation, DeepOR SAS, LeanTaaS, Medtronic Plc, Proximie Limited, Scalpel Limited, Surgalign Spine Technologies Inc.

Author : Abhinandan Views : 55

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