Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	96526
Country	Italy

Category	Surgery
Manuscript Type	Editorial
Article Title	Advancing perioperative optimization in Crohn's disease surgery with machine learning predictions
Manuscript Source	Invited Manuscript
All Author List	Olga Maria Nardone, Fabiana Castiglione and Simone Maurea
Funding Agency and Grant Number
Corresponding Author	Olga Maria Nardone, MD, PhD, Assistant Professor, Department of Public Health, University of Naples Federico II, Via Pansini 5, Naples 80131, Italy. olgamaria.nardone@unina.it
Key Words	Crohn's disease; Surgery; Postoperative complications; Ileocecal resection; Machine learning
Core Tip	Preoperative optimization for patients with Crohn's disease presents numerous challenges. Traditional research methods are insufficient to address the expanding array of questions in this field. Hence, there is a growing need to explore and develop new tools grounded in advanced technologies, such as computer simulation models and artificial intelligence. Employing machine learning approaches can significantly enhance patient risk stratification and the formulation of preoperative optimization strategies, ultimately aiming to improve post-surgical outcomes.
Citation	<p>Nardone OM, Castiglione F, Maurea S. Advancing perioperative optimization in Crohn's disease surgery with machine learning predictions. <i>World J Gastrointest Surg</i> 2024; 16(10): 3091-3093</p>

Received	2024-05-08 23:03
Peer-Review Started	2024-05-08 23:03
To Make the First Decision
Return for Revision	2024-06-19 06:14
Revised	2024-06-28 10:21
Second Decision	2024-07-09 02:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-07-09 06:33
Articles in Press	2024-07-09 06:33
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-07-10 14:54
Typeset the Manuscript	2024-07-17 00:28

ISSN	1948-9366 (online)
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