Predicting operative time for metabolic and bariatric surgery using machine learning models: A retrospective observational study
Background: Predicting operative time is essential for scheduling surgery and managing the
operating room. This study aimed to develop machine learning (ML) models to predict the …
operating room. This study aimed to develop machine learning (ML) models to predict the …
Improving case duration accuracy of orthopedic surgery using bidirectional encoder representations from Transformers (BERT) on Radiology Reports
W Zhong, PY Yao, SH Boppana, FV Pacheco… - Journal of Clinical …, 2024 - Springer
Purpose A major source of inefficiency in the operating room is the mismatch between
scheduled versus actual surgical time. The purpose of this study was to demonstrate a proof …
scheduled versus actual surgical time. The purpose of this study was to demonstrate a proof …
Development of an image-based Random Forest classifier for prediction of surgery duration of laparoscopic sigmoid resections
F Lippenberger, S Ziegelmayer, M Berlet… - International Journal of …, 2024 - Springer
Purpose Sigmoid diverticulitis is a disease with a high socioeconomic burden, accounting
for a high number of left-sided colonic resections worldwide. Modern surgical scheduling …
for a high number of left-sided colonic resections worldwide. Modern surgical scheduling …
Machine Learning to Predict Surgery Duration: Towards Implementing AI and Digital Twin for Effective Scheduling
MS Sapkota, F Doctor, H Herrera… - … on Medical Artificial …, 2024 - ieeexplore.ieee.org
Traditional elective patients' surgical scheduling relies on plan-makers' subjective estimates
or historical averages, leading to inefficiencies such as surgery cancellations or …
or historical averages, leading to inefficiencies such as surgery cancellations or …
[PDF][PDF] Artificial Intelligence in Healthcare: 2022 Year in Review
MSC Raghav Awasthi, JB Cywinski, AK Khanna… - researchgate.net
The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …