Results 91 to 100 of about 41,057 (216)

The Role of Machine Perfusion for Liver Transplantation in Children. [PDF]

Pediatr Transplant
Verma S, George MB, Mazariegos G, Vrochides D, Schlegel A.   +4 more
europepmc   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Effect of Normothermic Machine Perfusion on Glycocalyx Shedding During Liver Transplantation - A Prospective Pilot Study. [PDF]

Transpl Int
Mathis S, Putzer G, Gasteiger L, Staier N, Schlosser L, Tscholl P, Breitkopf R, Cardini B, Kofler A, Oberhuber R, Resch T, Schneeberger S, Martini J.   +12 more
europepmc   +1 more source

Machine learning and goal direct perfusion

JTCVS Open, 2023
openaire   +3 more sources

Machine Learning Methods to Predict the Length of Stay for Acute Stroke: A Scoping Review and Meta‐Analysis

Health Care Science, EarlyView.
Current machine learning models for predicting the length of stay for acute stroke lack clinical utility and reliability. This scoping review highlights areas for improvement to develop more robust, interpretable, generalizable, and clinically actionable models that optimize personalized clinical pathways and support precise decision‐making for stroke ...
Zhenran Xu, Monique F. Kilkenny, Tzu‐Yung Kuo, Jia Rong, Lachlan L. Dalli   +4 more
wiley   +1 more source

Machine perfusion for liver transplantation: opportunities and challenges for the next generation of transplant surgeons. [PDF]

Front Transplant
Mullens CL, Shanmugarajah K, Wakam GK.
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Correction: Effect of normothermic machine perfusion on glycocalyx shedding during liver transplantation - a prospective pilot study. [PDF]

Transpl Int
Mathis S, Putzer G, Gasteiger L, Staier N, Schlosser L, Tscholl P, Breitkopf R, Cardini B, Kofler A, Oberhuber R, Resch T, Schneeberger S, Martini J.   +12 more
europepmc   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

Hypothermic Machine Perfusion Allows Safe Delay in Kidney Transplantation After Cold Storage. [PDF]

J Clin Med
Macech M, Grochowiecki TR, Wojtaszek E, Nazarewski S, Glogowski T, Mondryk A, Proczka MS, Michalska MN, Malyszko J, Galazka Z.   +9 more
europepmc   +1 more source