AIMC Topic: Fluid Therapy

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Machine Learning-Guided Fluid Resuscitation for Acute Pancreatitis Improves Outcomes.

Clinical and translational gastroenterology Apr 1, 2025
INTRODUCTION: Ariel Dynamic Acute Pancreatitis Tracker (ADAPT) is an artificial intelligence tool using mathematical algorithms to predict severity and manage fluid resuscitation needs based on the physiologic parameters of individual patients. Our a...
Adult Male Middle Aged Severity of Illness Index Intensive Care Units Female Aged Fluid Therapy Respiratory Insufficiency Pancreatitis Resuscitation Systemic Inflammatory Response Syndrome Treatment Outcome Acute Disease Machine Learning Prospective Studies Humans
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Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection.

Gastrointestinal endoscopy Aug 13, 2024
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis se...
Humans Machine Learning Prospective Studies Aged Male Point-of-Care Systems Middle Aged Clinical Decision-Making Female Risk Factors Cholangiopancreatography, Endoscopic Retrograde Pancreatitis Pancreatic Ducts Administration, Rectal Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Fluid Therapy Stents Risk Assessment Pilot Projects ROC Curve
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Effect of different targets of goal-directed fluid therapy on intraoperative hypotension and fluid infusion in robot-assisted laparoscopic gynecological surgery: a randomized non-inferiority trial.

Journal of robotic surgery Mar 16, 2024
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are useful clinical parameters for assessing volume status and fluid responsiveness in robot-assisted surgery, but their usefulness as goal-directed fluid t...
Gynecologic Surgical Procedures Hypotension Goals Urea Prospective Studies Female Robotics Robotic Surgical Procedures Nitrogen Fluid Therapy Laparoscopy Humans
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Perioperative Fluid and Vasopressor Therapy in 2050: From Experimental Medicine to Personalization Through Automation.

Anesthesia and analgesia Jan 12, 2024
Intravenous (IV) fluids and vasopressor agents are key components of hemodynamic management. Since their introduction, their use in the perioperative setting has continued to evolve, and we are now on the brink of automated administration. IV fluid t...
Humans Fluid Therapy Artificial Intelligence Vasoconstrictor Agents Automation Biomedical Research Hemodynamics
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Real-time and accurate estimation of surgical hemoglobin loss using deep learning-based medical sponges image analysis.

Scientific reports Sep 19, 2023
Real-time and accurate estimation of surgical hemoglobin (Hb) loss is essential for fluid resuscitation management and evaluation of surgical techniques. In this study, we aimed to explore a novel surgical Hb loss estimation method using deep learnin...
Deep Learning Fluid Therapy Hemoglobins Resuscitation Indicator Dilution Techniques
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Novel parameters for predicting fluid responsiveness during the mini fluid challenge and ability of the cardiac power index: an observational cohort study.

Turkish journal of medical sciences Aug 26, 2023
BACKGROUND/AIM: The percentage change in the stroke volume index (SVI) due to the mini fluid challenge (MFC) (MFC-ΔSVI%) is used commonly in daily practice. However, up to 20% of patients remain in the gray zone of this variable. Thus, it was aimed t...
Male Blood Pressure Humans Middle Aged Stroke Volume Fluid Therapy Female Cohort Studies Aged
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Clinical outcomes of hospitalised individuals with spin-induced exertional rhabdomyolysis.

Annals of the Academy of Medicine, Singapore Jul 28, 2023
INTRODUCTION: Exertional rhabdomyolysis (ER) is caused by myocyte breakdown after strenuous physical activity. In recent years, the incidence of spin-induced ER (SER) has been increasing. We describe the clinical characteristics, management and outco...
Male Hospitalization Humans Exercise Physical Exertion Young Adult Retrospective Studies Rhabdomyolysis Fluid Therapy Adult Female Singapore Creatine Kinase
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Application of multiple deep learning models for automatic burn wound assessment.

Burns : journal of the International Society for Burn Injuries Jul 18, 2022
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial in managing burn injuries. It is difficult to estimate the size of an irregular shape by inspection. Many articles reported the discrepancy of estimat...
Body Surface Area Artificial Intelligence Deep Learning Fluid Therapy Burns Humans
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Predicting Volume Responsiveness Among Sepsis Patients Using Clinical Data and Continuous Physiological Waveforms.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
The efficacy of early fluid treatment in patients with sepsis is unclear and may contribute to serious adverse events due to fluid non-responsiveness. The current method of deciding if patients are responsive to fluid administration is often subjecti...
Logistic Models Fluid Therapy Machine Learning Male Middle Aged Sepsis Humans
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Machine learning methods to improve bedside fluid responsiveness prediction in severe sepsis or septic shock: an observational study.

British journal of anaesthesia Jan 16, 2021
BACKGROUND: Passive leg raising (PLR) predicts fluid responsiveness in critical illness, although restrictions in mobilising patients often preclude this haemodynamic challenge being used. We investigated whether machine learning applied on transthor...
Aged Male Point-of-Care Systems Sepsis Shock, Septic Echocardiography Middle Aged Machine Learning Prospective Studies Critical Illness Female Humans Predictive Value of Tests Fluid Therapy
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