On the horizon: specific applications of automation and artificial intelligence in anesthesiology

SC Davoud, VP Kovacheva - Current anesthesiology reports, 2023 - Springer
Abstract Purpose of Review The purpose of this review is to summarize the current research
and critically examine artificial intelligence (AI) technologies and their applicability to the …

[HTML][HTML] Methods of Defining Major Haemorrhage After Injury: A Scoping Review.

M Noonan, C Johnny, Y Kim, G O'Reilly… - Health Sciences …, 2024 - Elsevier
Injury remains a significant global health concern, with early major haemorrhage (MH) being
a leading cause of preventable death. However, the absence of a standardised definition for …

Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data

D Kwon, YM Jung, HC Lee, TK Kim, K Kim… - Journal of biomedical …, 2024 - Elsevier
Objective Failure to receive prompt blood transfusion leads to severe complications if
massive bleeding occurs during surgery. For the timely preparation of blood products …

Patient blood management in adults and children: What have we achieved, and what still needs to be addressed?

N Al-Mozain, S Arora, R Goel, K Pavenski… - Transfusion Clinique et …, 2023 - Elsevier
Abstract An overview of Patient Blood Management (PBM), with its main scope to preserve
the patient's own blood to improve the patient's outcome, is presented here, including the …

The applications and prospects of big data in perioperative anesthetic management

Y Zhu, X Liu, Y Li, B Yi - Anesthesiology and Perioperative Science, 2024 - Springer
Perioperative anesthetic management entails a multitude of decision-making processes
within complex medical scenarios. These demand the continuous and dynamic execution of …

Exploring the clinical relevance of vital signs statistical calculations from a new-generation clinical information system

JI Muñoz-Bonet, V Posadas-Blázquez… - Scientific Reports, 2023 - nature.com
New information on the intensive care applications of new generation 'high-density data
clinical information systems'(HDDCIS) is increasingly being published in the academic …

Artificial intelligence in perioperative care: Opportunities and challenges

L Han, DS Char, N Aghaeepour… - …, 2024 - pubmed.ncbi.nlm.nih.gov
Artificial Intelligence in Perioperative Care: Opportunities and Challenges Artificial Intelligence in
Perioperative Care: Opportunities and Challenges Anesthesiology. 2024 Aug 1;141(2):379-387 …

[PDF][PDF] Machine Learning-Based Prediction of Intraoperative Red Blood Cell Transfusion in Aortic Valve Replacement Surgery

C Chen, Y Wang, X Yang, M Zhang… - Clin …, 2024 - supplementary.clin-lab-publications …
Background: Blood shortage is a global challenge, impacting elective surgeries with high
bleeding risk. Predicting intraoperative blood use, optimizing resource allocation, and …

Development and Validation of a Predictive Risk Score for Blood Transfusion in Patients Undergoing Curative‐Intent Surgery for Intrahepatic Cholangiocarcinoma

G Catalano, L Alaimo, Y Endo… - Journal of Surgical …, 2024 - Wiley Online Library
ABSTRACT Background and Objectives Among patients undergoing liver resection for
intrahepatic cholangiocarcinoma (ICC), perioperative bleeding requiring blood transfusion is …

A Narrative Review on Intraoperative Adverse Events: Risks, Prevention, and Mitigation

N Kawa, T Araji, H Kaafarani, SW Adra - Journal of Surgical Research, 2024 - Elsevier
Introduction Adverse events from surgical interventions are common. They can occur at
various stages of surgical care, and they carry a heavy burden on the different parties …