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Updated: Aug 6, 2025

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

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Big Data in Surgery.

Christopher Prien¹, Eddy P Lincango¹, Stefan D Holubar¹

¹Department of Colon & Rectal Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH, USA.

The Surgical Clinics of North America

|March 22, 2023

Summary

This summary is machine-generated.

Big Data, enabled by technology, allows surgeons to explore new research areas. Future surgical practice will integrate Big Data with AI and machine learning for enhanced capabilities.

Keywords:

Artificial intelligence Big data Machine learning Natural language processing Quality Registries Surgery outcomes research

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Area of Science:

Surgical Research and Data Science
Health Informatics
Medical Technology Advancement

Background:

Technological progress has facilitated the emergence of Big Data.
Big Data offers significant advantages in data processing, storage, and analysis.
Its characteristics include large volume, accessibility, and rapid analysis.

Purpose of the Study:

To highlight the transformative impact of Big Data in surgical research.
To explore how Big Data overcomes limitations of traditional research models in surgery.
To project the future integration of Big Data with advanced technologies in surgical practice.

Main Methods:

Analysis of the role of Big Data in enabling surgical research.
Examination of the inherent strengths of Big Data (size, access, speed).
Review of historical limitations in surgical research models.

Main Results:

Big Data enables surgeons to investigate previously inaccessible research areas.
The ease of access and speed of analysis are key strengths.
Traditional research models have limitations that Big Data can address.

Conclusions:

Big Data is revolutionizing surgical research by overcoming traditional constraints.
Future surgical practice will leverage Big Data, artificial intelligence, and machine learning.
The integration of these technologies promises to unlock the full potential of Big Data in Surgery.