Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

Journal: The Journal of surgical research

Published Date: Apr 21, 2025

Abstract

INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for the development of a model that can accurately forecast the outcome of emergency general surgery (EGS) in elderly patients. Additionally, an innovative visual scoring system called geriatric emergency perioperative risk index (GEPR) was devised based on this model.

Authors

Dequan Xu

Department of Emergency Surgery of the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Haoxin Zhou

Department of Emergency Surgery of the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Jie Rong

Department of Emergency Surgery of the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xin Xie

School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, PR China.
Limin Hou

Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, Liaoning, China.

Keywords

Acute Care Surgery Aged Aged, 80 and over Algorithms Artificial Intelligence Emergencies Female Geriatric Assessment Hospital Mortality Humans Male Middle Aged Postoperative Complications Retrospective Studies Risk Assessment Surgical Procedures, Operative

External Resources

View on PubMed Access via DOI PubMed (40262412)

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

Abstract

Authors

Keywords

External Resources

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