Results 221 to 230 of about 2,813,671 (291)

Artificial Intelligence in Non-invasive Hemodynamic Monitoring: A Systematic Review of Accuracy, Effectiveness, and Clinical Applicability in Cardiology. [PDF]

Cureus
Ahmed AE, Al-Kinani SM, Alshammari AM, Alharbi RF, Alaydaa GS, Alanazi RM, Sharif MA, Refaei JN, Abu Summah HN, Altubayqi DH, Alhubail SM, Bannan AM, Hurubi AY.   +12 more
europepmc   +1 more source

Discrepant Urinary Findings Between Dipstick Protein and Sulfosalicylic Acid Test in a Patient With Hyaline Casts: A Case Report

Journal of Clinical Laboratory Analysis, EarlyView.
In this post‐transplant patient, increased hyaline casts with negative dipstick protein but positive SSA testing occurred during evolving acute kidney injury and resolved with renal recovery. This discordant urinalysis pattern may warrant confirmatory protein testing and correlation with serial renal function in patients at high risk of AKI.
Yifei Jia, Binquan Chu, Fengjun Chen, Xiangyu Zhu, Chen Hang, Xiaoling Yu, Jinpiao Lin   +6 more
wiley   +1 more source

Artificial Intelligence-Driven Hemodynamic Monitoring of Simulated Bruxism Using Functional Near-Infrared Spectroscopy: A Preliminary Study. [PDF]

CNS Neurosci Ther
Fatima N, Din ZMU, Aishan AA, Gul JZ.
europepmc   +1 more source

Diaphragm Ultrasonography Reveals Progressive Changes in Diaphragmatic Function, Morphology, and Muscle Trophism During Invasive Mechanical Ventilation in Children

Journal of Clinical Ultrasound, EarlyView.
Diaphragm ultrasonography detected progressive structural and functional deterioration in mechanically ventilated children. Prolonged invasive mechanical ventilation and neuromuscular blocking agent use were associated with ventilator‐induced diaphragmatic dysfunction, highlighting ultrasound as a valuable bedside tool to support individualized ...
Juliana Bezerra dos Santos, Emmerson Carlos Franco de Farias, Mary Lucy Ferraz Maia Fiuza de Mello, Rodrigo Santiago Barbosa Rocha   +3 more
wiley   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Going green for perioperative hemodynamic monitoring: a golden opportunity for middle-income countries. [PDF]

Crit Care Sci
Michard F, Teles Correia MD, Nacul FE, Quintão VC.   +3 more
europepmc   +1 more source

Noninvasive Maternal-Fetal Hemodynamic Monitoring as A Predictor of Severe Preeclampsia in Low-Resource Settings: A Case Report. [PDF]

AJP Rep
Toledo-Jaldin L, Gomez R, Lazo-Vega L, Larrea A, Vásquez A, Ormachea-Orellana W, Miranda-Girrado V, Julian CG.   +7 more
europepmc   +1 more source

Sublingual Zolpidem for MRI in Claustrophobic Patients: A Prospective, Non‐Randomized Noninferiority Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Claustrophobia during MRI may lead to examination interruption, motion artifacts, prolonged acquisition time, and reduced diagnostic quality, frequently requiring intravenous sedation to ensure successful examination completion and adequate image acquisition.
Beatriz Birelli do Nascimento, Fernando de Sá Del Fiol, Marcus Vinicius Birelli do Nascimento, Lucas Bueno de Oliveira, Samanta Aparecida Alves, Lucas do Nascimento Bernardes   +5 more
wiley   +1 more source

Non-invasive hemodynamic monitoring and cardiac preload assessment in severely injured children in the emergency department. [PDF]

BMC Emerg Med
Chen J, Li J, Wang X, Ma K, Xu J, Zhang H, Su Y, Li H.   +7 more
europepmc   +1 more source

Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor. [PDF]

Commun Med (Lond)
Schlesinger DE, Alam R, Ringel R, Pomerantsev E, Devireddy S, Shah P, Garasic J, Stultz CM.   +7 more
europepmc   +1 more source