Perioperative handoff enhancement opportunities through technology and artificial intelligence: a narrative review

JL Sparling, BH Mershon, J Abraham - The Joint Commission Journal on …, 2023 - Elsevier
Background Perioperative handoffs occur as patients progress through preoperative,
intraoperative, and postoperative phases of care. These may occur between clinicians from …

Prediction of lung infection during palliative chemotherapy of lung cancer based on artificial neural network

W Guo, G Gao, J Dai, Q Sun - Computational and Mathematical …, 2022 - Wiley Online Library
Lung infection seriously affects the effect of chemotherapy in patients with lung cancer and
increases pain. The study is aimed at establishing the prediction model of infection in …

Examining the impact perceptual learning artificial-intelligence-based on the incidence of paresthesia when performing the ultrasound-guided popliteal sciatic block …

N Cai, G Wang, L Xu, Y Zhou, H Chong, Y Zhao… - BMC …, 2022 - Springer
Objective To explore the impact of artificial-intelligence perceptual learning when performing
the ultrasound-guided popliteal sciatic block. Methods This simulation-based randomized …

[HTML][HTML] Use of artificial intelligence in paediatric anaesthesia: a systematic review

R Antel, E Sahlas, G Gore, P Ingelmo - BJA open, 2023 - Elsevier
Objectives Although the development of artificial intelligence (AI) technologies in medicine
has been significant, their application to paediatric anaesthesia is not well characterised. As …

[引用][C] 中国国家罕见病注册系统架构和数据质量控制及管理流程

郭健, 吕浩涵, 李杰, 于伟超, 刘鹏, 顾卫红*张抒扬 - 中国数字医学, 2021

Artificial intelligence algorithms predict the efficacy of analgesic cocktails prescribed after orthopedic surgery

G Fritsch, H Steltzer, D Oberladstaetter, C Zeller… - PLoS …, 2023 - journals.plos.org
Background Mixtures ('cocktails') of various analgesics are more effective in controlling post-
operative pain because of potential synergetic effects. Few studies have investigated such …

TIPTA YAPAY ZEKA UYGULAMALARI

H Keleş - Kırıkkale Üniversitesi Tıp Fakültesi Dergisi, 2022 - dergipark.org.tr
Artificial Intelligence (AI) is a set of algorithms that exhibit human skills such as reasoning,
learning, classification and creativity with the help of a machine. These AI algorithms attempt …

[HTML][HTML] Clinical decision support systems: a step forward in establishing the clinical laboratory as a decision maker hub

E Flores, JM Salinas, Á Blasco… - Computational and …, 2023 - Elsevier
Background New tools for health information technology have been developed in recent
times, such as Clinical Decision Support (CDS) systems, which are any digital solutions …

Impact of closed-loop technology, machine learning, and artificial intelligence on patient safety and the future of anesthesia

D Vanhonacker, M Verdonck… - Current Anesthesiology …, 2022 - Springer
Abstract Purpose of Review The purpose of the present narrative review is to look at the
present and future impact of closed-loop technology, artificial intelligence (AI), and machine …

[HTML][HTML] Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review

SR Rellum, J Schuurmans… - Journal of thoracic …, 2021 - ncbi.nlm.nih.gov
Background Machine learning (ML) is developing fast with promising prospects within
medicine and already has several applications in perioperative care. We conducted a …