Big Data in Neurosurgery: A Guideline on Data Structures, Machine Learning Models, and Ethical Considerations.

Area of Science:

• Neurosurgery
• Medical Informatics
• Artificial Intelligence

Background:

• Artificial intelligence (AI) is transforming neurosurgery by enabling advanced diagnostics, personalized treatments, and outcome predictions.
• Harnessing big data (BD) from electronic medical records and understanding machine learning (ML) models are crucial for leveraging AI in neurosurgical practice.
• ML models, including supervised learning, convolutional neural networks, and generative AI, are increasingly applied to tasks like brain tumor segmentation and predicting spine surgery outcomes.

Purpose of the Study:

• To provide a roadmap for neurosurgeons navigating the integration of big data (BD) and machine learning (ML) in the era of artificial intelligence (AI).
• To address the ethical challenges associated with the adoption of AI, BD, and ML in neurosurgery, including algorithmic bias, data privacy, and liability.

Main Methods:

• Review of current applications of AI, BD, and ML in neurosurgery.
• Analysis of ethical considerations, including data privacy, algorithmic bias, and legal liability.
• Development of a strategic roadmap for neurosurgical practitioners.

Main Results:

• AI, BD, and ML offer significant potential to enhance neurosurgical diagnostics, treatment personalization, and outcome prediction.
• Ethical challenges such as algorithmic bias, data privacy, and liability require careful consideration and proactive management.
• ML models can effectively complement clinical expertise and improve decision-making processes in neurosurgery.

Conclusions:

• Neurosurgeons must understand and ethically navigate the integration of AI, BD, and ML to optimize patient care.
• Addressing ethical concerns is paramount to ensure equitable and responsible implementation of AI in neurosurgery.
• A proactive approach is needed to manage the complexities of AI, BD, and ML in modern neurosurgical practice.