AI Medical Compendium Topic

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Blood Loss, Surgical

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Efficacy of Intraoperative Cell Salvage on Perioperative Blood Transfusion in Pelvic and Acetabular Surgery: A Matched Cohort Analysis.

The Iowa orthopaedic journal
BACKGROUND: Pelvic fractures often result in traumatic and intraoperative blood loss. Cell salvage (CS) is a tool where autologous blood lost during surgery is collected and recycled with anticoagulation, centrifugation to separate red blood cells, a...

Comparison of Surgical Outcome of Bipolar Scissors with Conventional Cold Dissection Tonsillectomy.

Kathmandu University medical journal (KUMJ)
Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Different methods have been used to improve the outcome of the surgery. One such method is tonsillectomy performed with bipolar scissors. In our scenario,...

Comparing robotic and open surgical techniques in gallbladder cancer management: a detailed systematic review and meta-analysis.

Journal of robotic surgery
This meta-analysis aims to evaluate the safety and oncological outcomes of robotic surgery compared to open surgery in treating gallbladder cancer (GBC). In October 2023, we performed a literature search across major global databases such as PubMed, ...

Single-port robotic-assisted laparoscopic synchronous surgery in pediatric patent processus vaginalis.

BMC surgery
PURPOSE: Patent processus vaginalis (PPV) is usually observed in pediatric abdominal surgery; however, robotic single-port surgery in repairing processus vaginalis has not been reported in children. Herein, we present our clinical experiences in sing...

Real-time detection of active bleeding in laparoscopic colectomy using artificial intelligence.

Surgical endoscopy
BACKGROUND: Most intraoperative adverse events (iAEs) result from surgeons' errors, and bleeding is the majority of iAEs. Recognizing active bleeding timely is important to ensure safe surgery, and artificial intelligence (AI) has great potential for...

Use of an Artificial Intelligence Device for Evaluating Blood Loss in Complex Major Orthopaedic Surgery Procedures.

The Journal of arthroplasty
BACKGROUND: An artificial intelligence algorithm that analyzes the pulse oximeter waveform in the fingertip can be used to determine the compensatory reserve index (CRI) in trauma patients. This measurement shows the remaining cardiovascular capacity...

Development and validation of machine learning models to predict perioperative transfusion risk for hip fractures in the elderly.

Annals of medicine
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical blood loss. However, the use of perioperative blood products increases the risk of ad...

Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution.

Scientific reports
Despite recent advances in surgical techniques and perinatal management in obstetrics for reducing intraoperative bleeding, blood transfusion may occur during a cesarean section (CS). This study aims to identify machine learning models with an optima...

Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy.

Surgical endoscopy
BACKGROUND: Intraoperative hemorrhage during laparoscopic hepatectomy (LH) is a risk factor for negative postoperative outcomes. Ensuring appropriate hemostasis enhances the safety of surgical procedures. An automatic bleeding recognition system base...