AIMC Topic: Blood Transfusion
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Is the learning curve of the urology resident for conventional radical prostatectomy similar to that of staff initiating robot-assisted radical prostatectomy?
International braz j urol : official journal of the Brazilian Society of Urology
Jan 1, 2024
INTRODUCTION: The superiority of the functional results of robot-assisted radical prostatectomyis still controversial. Despite this, it is known that minimally invasive surgery obtains better results when analyzing blood loss, blood transfusion and l...
Retroperitoneal approach for robot-assisted partial nephrectomy: still underused despite the supporting evidence.
Minerva urology and nephrology
Oct 1, 2023
Comment on: "Techniques and outcomes of robot-assisted partial nephrectomy for the treatment of multiple ipsilateral renal masses".
Minerva urology and nephrology
Jun 1, 2023
Moving from "Surgeries" to Patients: Progress and Pitfalls While Using Machine Learning to Personalize Transfusion Prediction.
Anesthesiology
Jul 1, 2022
Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders.
Anesthesiology
Jul 1, 2022
BACKGROUND: Accurate estimation of surgical transfusion risk is essential for efficient allocation of blood bank resources and for other aspects of anesthetic planning. This study hypothesized that a machine learning model incorporating both surgery-...
Analysis of surgical and histopathological results of robot-assisted partial nephrectomy with use of three or four robotic arms: an early series results.
International braz j urol : official journal of the Brazilian Society of Urology
Jan 1, 2022
OBJECTIVES: The aim of this study was to evaluate whether criteria exist to guide election between the use the three- or four-arm technique in robotic partial nephrectomy (RPN) instead of just the surgeon's preference.
[Ⅰ. Robot-Assisted Transmediastinal Esophagectomy for Esophageal Cancer].
Gan to kagaku ryoho. Cancer & chemotherapy
Sep 1, 2021
Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.
The journal of trauma and acute care surgery
Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.
BMJ health & care informatics
Jan 1, 2021
OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further interve...
Machine Learning Applied to Registry Data: Development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset.
Anesthesia and analgesia
Jan 1, 2021
BACKGROUND: Craniosynostosis is the premature fusion of ≥1 cranial sutures and often requires surgical intervention. Surgery may involve extensive osteotomies, which can lead to substantial blood loss. Currently, there are no consensus recommendation...
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