postoperative-length-stay-after-minimally-invasive-transforaminal

Postoperative Length of Stay After Minimally Invasive Transforaminal Lumbar Interbody Fusion: Analysis of Perioperative Predictors

Length of stay is a key quality and cost metric after minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF). Published benchmarks vary ...

People's Hospital of Chongqing Hechuan

The First Affiliated Hospital of Chongqing Medical University Hechuan District Hospital

The aims of this study were to develop and validate interpretable ML models for extended length of stay (eLOS) prediction following endoscopic lumbar spinal stenosis (LSS) decompression, and identify modifiable risk factors influencing healthcare costs and recovery.

Machine learning prediction of extended length of stay following endoscopic decompression for lumbar spinal stenosis: A retrospective cohort study.

Artificial intelligence (AI) has significantly advanced the field of joint arthroplasty by transforming key aspects such as surgical planning, implant design, and postoperative management. Despite their growing importance, research trends and priorities in AI applications for joint arthroplasty remain underexplored. This study employed bibliometric analysis to elucidate the main research focus areas and global trends in AI and arthroplasty from 2001 to 2025.

Artificial intelligence in joint arthroplasty: A bibliometric analysis of global research trends (2001-2025).

Extended length of stay (eLOS) after hip fracture surgery in elderly patients poses significant clinical and economic challenges. While traditional statistical models identify key predictors, they may miss complex variable interactions. This study compared logistic regression with machine learning (ML) algorithms to predict eLOS, emphasizing actionable factors within Enhanced Recovery After Surgery (ERAS) protocols.

Article	Year
Machine learning prediction of extended length of stay following endoscopic decompression for lumbar spinal stenosis: A retrospective cohort study. Digital health\| PubMed ID: 40718407	2025
Artificial intelligence in joint arthroplasty: A bibliometric analysis of global research trends (2001-2025). Medicine\| PubMed ID: 40898573	2025
Machine learning for predicting extended length of stay in elderly patients with hip fractures: An enhanced recovery after surgery perspective. Digital health\| PubMed ID: 41393839	2025

Chaoyang Qu

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