AIMC Topic: Resuscitation

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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...
Systemic Inflammatory Response Syndrome Treatment Outcome Middle Aged Severity of Illness Index Respiratory Insufficiency Pancreatitis Resuscitation Acute Disease Fluid Therapy Intensive Care Units Female Adult Male Aged Machine Learning Prospective Studies Humans
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Advancing newborn care: Precise time of birth detection using ai-driven thermal imaging with adaptive normalization.

Computers in biology and medicine Jan 29, 2025
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence-based research, objective data collection, and opportunities for learning from real newborn resuscitation emergency events. Generating and evaluating...
Humans Artificial Intelligence Infant, Newborn Parturition Thermography Algorithms Female Resuscitation
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Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data.

Journal of biomedical informatics Dec 31, 2024
OBJECTIVE: Trauma resuscitation is the initial evaluation and management of injured patients in the emergency department. This time-critical process requires the simultaneous pursuit of multiple resuscitation goals. Recognizing whether the required g...
Wounds and Injuries Resuscitation Neural Networks, Computer Deep Learning Emergency Service, Hospital Intention Child Humans
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Artificial intelligence and informatics in neonatal resuscitation.

Seminars in perinatology Oct 11, 2024
Neonatal intensive care unit resuscitative care continually evolves and increasingly relies on data. Data driven precision resuscitation care can be enabled by leveraging informatics tools and artificial intelligence. Despite technological advancemen...
Artificial Intelligence Infant, Newborn Humans Intensive Care, Neonatal Resuscitation Intensive Care Units, Neonatal
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Evaluating the accuracy and reliability of AI chatbots in disseminating the content of current resuscitation guidelines: a comparative analysis between the ERC 2021 guidelines and both ChatGPTs 3.5 and 4.

Scandinavian journal of trauma, resuscitation and emergency medicine Sep 26, 2024
AIM OF THE STUDY: Artificial intelligence (AI) chatbots are established as tools for answering medical questions worldwide. Healthcare trainees are increasingly using this cutting-edge technology, although its reliability and accuracy in the context ...
Humans Practice Guidelines as Topic Resuscitation Reproducibility of Results Information Dissemination Artificial Intelligence Prospective Studies
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Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?

Critical care explorations May 6, 2024
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is increasingly attributed to patient heterogeneity, including heterogeneous cardiovascular changes in septic shock. We discuss the potential for machine...
Machine Learning Precision Medicine Resuscitation Sepsis Humans
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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...
Hemoglobins Indicator Dilution Techniques Deep Learning Resuscitation Fluid Therapy
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Using Artificial Intelligence to Develop Educational Content for Teaching Children on Cardiopulmonary Resuscitation.

Prehospital and disaster medicine Sep 5, 2023
Teaching Cardiopulmonary Resuscitation Artificial Intelligence Resuscitation Educational Measurement Child Humans
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Self-fulfilling prophecies and machine learning in resuscitation science.

Resuscitation Oct 25, 2022
INTRODUCTION: Growth of machine learning (ML) in healthcare has increased potential for observational data to guide clinical practice systematically. This can create self-fulfilling prophecies (SFPs), which arise when prediction of an outcome increas...
Machine Learning Resuscitation Humans
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Advanced medical monitoring for the battlefield: A review on clinical applicability of compensatory reserve measurements for early and accurate hemorrhage detection.

The journal of trauma and acute care surgery Mar 8, 2022
Hemorrhagic shock remains the leading cause of mortality in civilian trauma and battlefield settings. The ability of combat medics and other military medical personnel to obtain early identification and assessment of a bleeding casualty is hampered b...
Resuscitation Shock, Hemorrhagic Monitoring, Physiologic Humans Hemorrhage Artificial Intelligence
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