AIMC Topic: Length of Stay

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Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

PloS one
OBJECTIVE: This study aims to develop high-performing Machine Learning and Deep Learning models in predicting hospital length of stay (LOS) while enhancing interpretability. We compare performance and interpretability of models trained only on struct...

Unplanned conversions of robotic pancreaticoduodenectomy: short-term outcomes and suggested stepwise approach for a safe conversion.

Surgical endoscopy
OBJECTIVE: With the increased adoption of robotic pancreaticoduodenectomy, the effects of unplanned conversions to an 'open' operation are ill-defined. This study aims to describe the impact of unplanned conversions of robotic pancreaticoduodenectomy...

A deep learning approach for inpatient length of stay and mortality prediction.

Journal of biomedical informatics
PURPOSE: Accurate prediction of the Length of Stay (LoS) and mortality in the Intensive Care Unit (ICU) is crucial for effective hospital management, and it can assist clinicians for real-time demand capacity (RTDC) administration, thereby improving ...

A Comparison of Endoscope-Assisted and Open Frontoorbital Distraction for the Treatment of Unicoronal Craniosynostosis.

Plastic and reconstructive surgery
BACKGROUND: Frontoorbital distraction osteogenesis (FODO) is an established surgical technique for patients with unicoronal craniosynostosis. The authors' institution has used an endoscope-assisted technique (endo-FODO) in recent years to decrease cu...

Laparoscopic vs. robotic colectomy for left-sided diverticulitis.

Journal of robotic surgery
Diverticulitis is a prevalent gastrointestinal disease that often warrants surgical intervention. However, the optimal approach between traditional laparoscopy (LC) and robotic-assisted laparoscopy (RAC) for diverticulitis remains unclear. Our resear...

Comparison of effectiveness and safety of Da Vinci robot's "3 + 1" and "4 + 1" modes of treatment for colorectal cancer.

Journal of robotic surgery
To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models for colorectal cancer (CRC). A total of 107 patients with CRC admitted to our hospital from February 2021 to May 2022 were selected for the retrospec...

Robot-navigated pedicle screw insertion can reduce intraoperative blood loss and length of hospital stay: analysis of 1,633 patients utilizing propensity score matching.

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: Navigation and robotic technologies have emerged as an alternative option to conventional freehand techniques for pedicle screw insertion. However, the effectiveness of these technologies in reducing the perioperative complication...

Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press.

Health care management science
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestion. We estimate the LOS and its probability distribution using machine ...

Robot-assisted radical nephrectomy using novel surgical robot platform, hinotori: Report of initial series of 13 cases.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: The aims of the present study were to describe the perioperative findings of the first series of patients undergoing robot-assisted radical nephrectomy (RARN) with a newly launched platform, the hinotori surgical robot system, and compare...

Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.

BMJ open
PURPOSE: In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the ...