Clinical Research Directory

Effect of AED-optimized Telephone-assisted CPR Instructions on No-flow Time and Chest Compression Fraction

Out-of-hospital cardiac arrest (OHCA) remains a leading cause of mortality worldwide, with survival highly dependent on the immediate initiation of bystander cardiopulmonary resuscitation (CPR). Early recognition, prompt chest compressions, and rapid defibrillation are critical components of the chain of survival. Telephone-assisted CPR (T-CPR) provided by emergency dispatchers has been shown to significantly increase bystander intervention rates and improve outcomes. While the availability and use of automated external defibrillators (AEDs) further enhance survival, the optimal integration of AED use into dispatcher-guided, single-rescuer scenarios remains insufficiently studied. This prospective, randomized, controlled simulation study aims to evaluate the effect of modified telephone cardiopulmonary resuscitation (T-CPR) instructions optimized for automated external defibrillator (AED) use on no-flow time and chest compression fraction (CCF) during single-rescuer resuscitation. Participants are randomized to receive either standard T-CPR instructions or enhanced instructions focusing on minimizing interruptions in chest compressions and reducing time to first compression during AED use.

Trial of Acceptance and Mindfulness-based Exposure Therapy (AMBET) and Present Centered Therapy (PCT)

The goal of this clinical trial is to learn if a new therapy called Acceptance- and Mindfulness-Based Exposure Therapy (AMBET) helps treat post-traumatic stress disorder (PTSD) in people who survived a cardiac arrest. This study will compare AMBET to another psychotherapy treatment called Present Centered Therapy (PCT) to see which therapy is more effective in treating PTSD. The main questions it aims to answer are: Does AMBET reduce PTSD symptoms in survivors of cardiac arrest? How do the benefits of AMBET compare to PCT? Participants will: * Be randomly assigned to receive either AMBET or PCT * Attend 12 hours of individual psychotherapy sessions over about 12 weeks * Complete short weekly surveys about their mood and behaviors online * Wear a Fitbit device to track sleep and activity during the study * Do brief homework assignments between sessions

The Ventilation During In-hospital Cardiac Arrest Study

The goal of this prospective observational study is to learn how ventilation quality parameters during cardiopulmonary resuscitation (CPR) are associated with short-term survival following in-hospital cardiac arrest of adult patients. The main questions it aims to answer are: What ventilation volume during CPR is associated with the highest chance of return of spontaneous circulation (ROSC)? What ventilation rate during CPR is associated with the highest chance of ROSC? Researchers will compare different levels of ventilation rates and volumes that are blindly measured during CPR to see how the observed rates and volumes are associated with survival outcomes and complications.

New Tools and Predictive Markers in the Prognosis of Hypoxic-ischemic Encephalopathy Following Cardiac Arrest

Cardiac arrest (CA) remains a major cause of mortality and long-term neurological disability worldwide. Despite advances in resuscitation, many survivors suffer from post-cardiac syndrome encompassing PCAS brain injury (PCABI), due to primary (ischemic) and secondary (reperfusion) injury, myocardial dysfunction, systemic response, and persistent underlying causes. PCABI plays a critical role in this complex condition, which is characterized by ischemia, inflammation, and microvascular dysfunction.Current methods to predict neurological outcomes are limited, leading to challenges in clinical decision-making and the risk of premature withdrawal of life-sustaining therapies. This study aims to improve prognostication in CA patients by integrating advanced serum biomarker profiling with cerebral ultrasound (CU) techniques. The investigators hypothesize that combining these tools with clinical data will enhance the accuracy of neurological outcome predictions and deepen understanding of PCABI pathophysiology. The investigators will prospectively enroll 50 CA patients admitted to the intensive care unit at Cliniques Universitaires Saint-Luc. Serum proteomics will be performed using the Reveal panel from Olink®, which analyzes over 1,000 proteins involved in inflammation and thrombosis implicated in PCABI. Concurrently, cerebral ultrasound will assess optic nerve sheath diameter (ONSD) and cerebral blood flow velocities (CBFV) at multiple time points post-resuscitation (at admission, on day 1-2 and on day 3-5). These non-invasive bedside measurements may serve as early indicators of elevated intracranial pressure and cerebral hemodynamic abnormalities.The primary endpoint is poor neurological outcome at one month, defined by the Cerebral Performance Category (CPC) scale. Statistical analyses will evaluate the prognostic value of biomarkers and ultrasound parameters individually and in combination with established clinical predictors.This multimodal approach promises to refine prognostic accuracy, improve clinical decision-making, and identify novel therapeutic targets. Ultimately, our findings may lead to improved patient outcomes and guide future multicenter studies for validation and clinical implementation.

Long Term Follow-up of Cardiac Arrest Survivors Exposed to Ultra-rapid Cooling

Less than 10% of patients eliciting out-of-hospital cardiac arrest (OHCA) survive, although 30% can be resuscitated by Emergency services before admission in Intensive Care Units (ICU). The majority succumb to Post-Cardiac Arrest Syndrome (PCAS). PCAS is associated with high mortality (60-70%) and morbidity. One proposed method of preventing the neurological and cardiac consequences of PCAS is to lower the body temperature to 33°C as quickly as possible. This approach is known as therapeutic hypothermia or Targeted Temperature Management (TTM). The Vent2Cool system, developed by Orixha, is a novel approach that enables the rapid induction of therapeutic hypothermia by using hypothermic Total Liquid Ventilation (TLV) to reach a protective temperature of 33°C within minutes. The OverCool feasibility study, which started in April 2025, is designed to validate the clinical performance and safety of an ultra-rapid cooling approach combining ultra-rapid hypothermia induction using the Vent2Cool system, and maintenance and rewarming using the ArcticSun system. The AfterCool study aims to evaluate long-term outcomes during a five-year follow-up of cardiac arrest survivors who were treated with ultrarapid cooling in the OverCool study.

Evaluation of Acid-base Disorders and Ventilation Settings in Cardiogenic Shock and Post-cardiac Arrest Patients: Comparison With VentilO Algorithm

This study aims to better understand how mechanical ventilation settings affect patients admitted to the coronary care unit after cardiac arrest or with cardiogenic shock. These patients often require mechanical ventilation, but current guidelines provide limited evidence on the best approach. Improper ventilation settings can lead to acid-base imbalances, such as respiratory acidosis or alkalosis, which may worsen patient outcomes. The retrospective analysis will include 100 adult patients (50 post-cardiac arrest and 50 with cardiogenic shock) who were mechanically ventilated upon admission. The study has two main objectives: Determine how often acid-base disorders occur in these patients and describe their characteristics. Compare the initial ventilator settings chosen by clinicians with those suggested by VentilO, a decision-support algorithm. The investigators will evaluate the potential effect of the VentilO recommendations on the first arterial (or capillary) blood gases compared to the real settings. This information will help refine the algorithm and guide future research on improving ventilation strategies for critically ill cardiac patients. Participation does not involve any intervention, as the study uses existing medical records.

Molecular Insights Into Post-Cardiac Arrest Brain Injury Via CSF Multi-Omics

The goal of this study is to uncover the molecular mechanisms responsible for secondary brain injury in patients with post-cardiac arrest syndrome by analyzing cerebrospinal fluid (CSF) using multi-omics techniques. The main question this study aims to answer is: Which genome-, transcriptome-, proteome-, and metabolome-level changes in CSF are associated with secondary brain injury after cardiac arrest? To address this question, CSF samples collected from post-cardiac arrest patients will undergo multi-omics analyses. Identified molecular pathways will be used to screen existing drug databases and generate new therapeutic candidates through computational modeling and compound synthesis. These findings will provide the scientific foundation needed to design and implement future preclinical experiments using cardiac arrest animal models.

GARDE : GC7 (N1-guanyl-1,7 Diaminoheptane) cARDiac arrEst

Cardiac arrest (CA) with return of spontaneous circulation is associated with high mortality, exceeding 90% in out-of-hospital settings and approaching 50% in in-hospital settings. Despite management of the underlying cause of CA, patients often die from post-anoxic brain injury or from ischemia-reperfusion injury occurring after reperfusion and reoxygenation, which increases oxidative stress and leads to multi-organ failure. To date, no effective therapeutic strategy has been established in humans to limit these ischemia-reperfusion injuries. GC7 (N1-guanyl-1,7 diaminoheptane) has demonstrated a strong protective potential against ischemia reperfusion injury in rodent and porcine models, including myocardial infarction, stroke, and renal transplantation. These protective effects are attributed to the pleiotropic action of GC7 which renders cells and tissues energetically less dependent on oxygen, and reduces oxidative stress which play a major role in ischemia reperfusion injury. Degree of blood acidification and immune dysregulation may also represent parameters that GC7 could potentially influence. Although no adverse effects have been reported in these experimental models, GC7 has not yet been studied in human. Our study therefore aims to demonstrate the protective effect of GC7 on blood cells in patients after CA by evaluating oxidative stress levels, blood acidification and inflammatory profile.

PRECISION-CPR: PRecision-Controlled Ventilation in CPR

Cardiac arrest is a life-threatening emergency that requires immediate treatment with cardiopulmonary resuscitation (CPR). While chest compressions circulate blood, manual ventilation provides oxygen to the patient. Current CPR guidelines recommend specific ventilation rates and tidal volumes, but studies show that clinicians often deliver too much or too little ventilation due to a lack of monitoring tools, potentially reducing the effectiveness of CPR and impacting survival. The PRECISION-CPR study is a multi-center, randomized controlled trial designed to evaluate whether using real-time feedback devices to precisely control ventilation during CPR can improve patient outcomes. Adult patients experiencing in-hospital cardiac arrest will be randomized to receive either standard manual ventilation guided by clinician experience or precision-controlled ventilation tailored to the patient's predicted body weight using real-time monitoring devices. The primary outcome of the study will be return of spontaneous circulation (ROSC). Secondary outcomes will include survival to hospital discharge, neurological recovery, and other clinical measures. By addressing the limitations of current ventilation practices, this study aims to generate evidence to guide future resuscitation guidelines and improve survival rates after cardiac arrest.

Measurement of Airway Opening Index During Out-of-hospital Cardiac Arrest: The Lazarus AOI Trial.

Out-of-hospital cardiac arrest (OHCA) is a leading cause of death worldwide. Despite constantly improving resuscitation techniques, the chances of survival remain limited. During cardiopulmonary resuscitation (CPR), a closure of the airway may occur, impeding ventilation. This phenomenon also complicates the interpretation of the end-tidal CO2 (ETCO2) in the capnogram. The extent to which airway closure occurs is quantified by the Airway Opening Index (AOI). This can be calculated from the capnogram and is seen as a measure of the quality of CPR applied as well as a possible indicator to predict the outcome of CPR. In this study, we analyse capnogram data from approximately 150 cases, collected during interventions for OHCA and logged in the Lazarus database (UZ Gent and AZORG) to answer three research questions below: 1. What is the prevalence of AOI during CPR? 2. Is there a correlation between AOI and return of spontaneous circulation (ROSC)? 3. Does the application of positive end-expiratory pressure (PEEP) affect the AOI and ROSC? A mathematical model for calculating AOI, based on a method from previous work by Bandhari et al. \[1\] will be developed. Using this model, the AOI will be calculated from the individual capnograms for all cases in the Lazarus database. In addition, a multivariable regression model will be used to analyse whether AOI can be used to predict ROSC. Corrections will be made for relevant confounders such as age, gender, witnessed arrest and rhythm pattern. Finally, it is investigated whether PEEP has a positive influence on AOI. This study aims to contribute to better insights into airway dynamics during CPR and the optimization of ventilation in OHCA.

The Effect of SPecialty cAre on Recovery From Cardiac Arrest Trial (the SPARC Trial)

This randomized clinical trial will determine if adult participants who are in the emergency department after being resuscitated from a cardiac arrest outside of the hospital benefit from care delivered at specialized centers. The main question that it will answer is whether transferring participants to a hospital with a specialized cardiac arrest service improves recovery of function after 90 days. Participants will receive all usual medical care, but some participants will be offered transfer to a regional cardiac arrest center and others will be offered care at the closest appropriate hospital. Investigators will interview participants after 90 days to assess their recovery.

Diagnostic Accuracy of ECG-less Gated Cardiac CT in Resuscitated Cardiac Arrest Survivors Without ST Elevation Myocardial Infarction

In a significant portion of patients surviving a cardiac arrest, the event is caused by a myocardial infarction (a narrowing or blockage of one or more blood vessels that supply blood to the heart, the coronary arteries). In some people, this is immediately evident from basic tests; in others, it is more difficult to predict with the currently available tests whether this (or something else) caused the cardiac arrest. We investigate a technique that allows us to also assess the coronary arteries on the CT scan that is performed in patients surviving a cardiac arrest. The coronary angiography is currently the best exam we have for examining the coronary arteries, but it has some disadvantages. Compared to the CT scan, it takes more time, needs a more complex access to the blood vessels, and has some rare but relevant possible complications. The major advantage of the coronary angiography is that there is the possibility of immediate treatment of a narrowed/blocked blood vessel of the heart. The current guidelines advice an urgent coronary angiography when a clear myocardial infarction is suggested on the electrocardiogram, but not when there is no clear indication of myocardial infarction. Nonetheless, a relevant portion (more or less 40%) of the patients without a clearly abnormal electrocardiogram, still have an important problem in the blood vessels of the heart. We aim to determine whether the CT scan provides accurate information about the condition of the blood vessels of the heart. The CT scan was already well examined for this purpose before, but in the currently conventional way it needs preparation with extra monitoring and administration of medication, which would lead to loss of precious time and potentially dangerous side effects of these drugs in this critical situation. For that reason, a new software modality was developed that allows us to examine the coronary arteries in the same CT scan, without need for additional monitoring or medication administration. It does not need additional contrast administration (the dye necessary for optimal evaluation of some diseases). The goal of this study is to determine whether this new technique gives us the correct information about the coronary arteries. This means we acquire the images of the heart in the same scan, and verify the results with the conventional coronary angiography. If the technique provides accurate information, it could lead to a better selection of patients we need to urgently refer for a coronary angiography and to defer the exam in those who have normal coronary arteries on the scan.

Evaluation of Mixed Reality Cardiopulmonary Resuscitation Training

\<Study Design\> This study is a cluster-randomized, stratified, non-inferiority trial designed to evaluate the feasibility, efficacy, and educational effectiveness of HEROS 4.0, a mixed-reality (MR)-based cardiopulmonary resuscitation (CPR) training system, compared with conventional instructor-led CPR training. \<Objective \& Hypothesis\> The primary objective is to determine whether MR-based HEROS 4.0 CPR training is non-inferior to standard video- and instructor-based CPR training in improving CPR performance quality. The central hypothesis is that participants trained using HEROS 4.0 will achieve comparable CPR quality to those trained using traditional methods, while benefiting from enhanced immersion, scalability, and accessibility. \<Participants\> A total of 120 adults aged 18-50 years who have not received CPR training within the previous 12 months will be recruited. Participants will be assigned to one of two clusters and randomized in a 1:1 ratio to either the HEROS 4.0 MR training group or the conventional CPR training group. \<Intervention \& Control\> Participants will undergo CPR training according to their assigned group: Intervention group (HEROS 4.0): Participants will receive a two-stage CPR training program consisting of pre-training and on-site MR-based training. As pre-training, participants will be instructed to watch a 40-minute instructional video (conventional CPR training group video) at home prior to their visit. After completing the pre-training, participants will undergo 20 minutes of MR-based CPR training using the HEROS 4.0 system in a dedicated CPR training booth. Control group (Conventional CPR training): Participants will receive 60 minutes of standard CPR education delivered through instructional videos and in-person instructor guidance, reflecting current community CPR training practice. \<Outcomes\> Immediately after training, all participants will undergo a standardized cardiac arrest simulation using a CPR quality-measurement manikin. This simulation will assess objective CPR performance metrics as well as subjective outcomes through questionnaires. To evaluate knowledge retention and skill durability, all assessments will be repeated 6 months after training using the same simulation scenario and outcome measures. The primary outcome is chest compression fraction measured during the standardized simulated cardiac arrest scenario. Secondary outcomes include quantitative measures of CPR quality and participant-reported outcomes based on survey.

On Scene ECPR in Ostrava

On-scene extracorporeal pulmonary resuscitation (ECPR) for out-of-hospital cardiac arrest (OHCA) seems to speed up the start of extracorporeal membrane oxygenation (ECMO) and shorten low flow during cardiopulmonary resuscitation (CPR) in case of refractory cardiac arrest. The primary goal is to verify the benefit of on-scene ECPR in terms of shortening the collapse-to-ECMO interval. The secondary goal is to compare outcomes in the on-scene ECPR group with hospital cannulation.

Identification of Brain Injury Using Portable MRI

The goal of this study is to look for brain injury in patients who had a cardiac arrest, using portable brain imaging. The portable nature of this test will also allow for serial imaging so the investigators can understand how brain injury changes over days. The results of this study may allow for bedside imaging to be available at centers without specialized imaging centers and may identify markers of brain injury that help to select the patients most likely to benefit for clinical trials.

Incidence of Colon Ischemia in Patients After Cardiopulmonary Resuscitation (CPR)

Bedside colonoscopy 24-36 hours after successful CPR

The Application of Positive End-Expiratory Pressure in Out-of-Hospital Cardiac Arrest: The Lazarus-PEEP Trial.

The goal of this clinical trial is to learn whether using Positive End-Expiratory Pressure (PEEP) during cardiopulmonary resuscitation (CPR) improves outcomes for adults who experience out-of-hospital cardiac arrest, a condition where the heart suddenly stops beating. PEEP is used during ventilation, which may enhance oxygen levels by keeping the airways open throughout CPR. This study aims to determine if using PEEP during CPR helps restart the heart more effectively, improves survival rates, and enhances survival with good neurologic outcomes after a cardiac arrest compared to standard CPR without PEEP. Researchers will randomly assign participants to one of two groups: one receiving CPR with PEEP set at 5 cm of water pressure and the other receiving standard CPR without PEEP. Participants will be treated by emergency medical teams trained in advanced life support, and specialised sensors will measure airflow and airway pressure during resuscitation. Additionally, the study will evaluate potential side effects associated with PEEP, such as increased pressure within the chest or lung injuries. Findings from this trial will guide recommendations on the usage of PEEP in standard CPR practices to potentially improve patient outcomes.

The Caribbean Registry of Extracorporeal Membrane Oxygenation (ECMO) From the University Hospital in Martinique

The project's main goal is to collect baseline clinical and procedural data as well as to assess clinical outcomes for all patients undergoing VV, VA or VAV ECMO implantation in the French West Indies and Guiana. All patients undergoing ECMO implantation will be prospectively registered.

A Study on the Impact of a New Canton-Wide First Responder System in Zug, Switzerland, on Survival After Adult Cardiac Arrest-Examining Early Life-Saving Organized Help, Fast Defibrillation, and Improved Outcomes for Out of Hospital Cardiac Arrest

REVIVE Zug: Improving Emergency Response for Out-of-Hospital Cardiac Arrest Out-of-hospital cardiac arrest (OHCA) represents one of the most time-critical medical emergencies, where rapid recognition and immediate intervention are decisive for survival and neurological outcome. Early activation of emergency services, prompt initiation of cardiopulmonary resuscitation, and rapid defibrillation using automated external defibrillators (AEDs) are key components of the chain of survival. In many regions, organized First Responder systems-such as fire services, police forces, and trained lay responders supported by dispatcher-assisted instructions-arrive at the scene before emergency medical services (EMS) and initiate life-saving measures. Evidence from multiple EMS systems indicates that the early involvement of First Responders is associated with higher rates of return of spontaneous circulation (ROSC) and improved survival to hospital discharge with favorable neurological outcomes. Regions with well-established First Responder networks consistently report better OHCA outcomes compared with regions without such systems. In the canton of Zug, a comprehensive First Responder system has recently been implemented alongside an established hybrid EMS response model. In this system, resuscitation efforts are led either by an Emergency Physician (EP) or by a highly trained Critical Care Paramedic (CCP), depending on operational availability. Both roles operate within clearly defined competencies and provide the full scope of advanced prehospital care. This hybrid leadership model offers a unique opportunity to examine whether the professional background of the team leader influences resuscitation outcomes in real-world clinical practice. The REVIVE Zug study aims to evaluate the impact of the canton-wide First Responder system on outcomes following OHCA. Key outcomes of interest include ROSC rates, hospital admission after cardiac arrest, the occurrence of shockable rhythms at EMS arrival, and outcomes achieved before EMS arrival. In addition, the study explores whether team leadership by an EP or a CCP is associated with differences in resuscitation outcomes. Further analyses focus on time intervals within the chain of survival, such as time from cardiac arrest to arrival of organized help and time to first defibrillation, as well as on event timing and basic demographic characteristics. The study is based on anonymized data from established EMS quality registries and the national Swiss Reca database. By comparing OHCA cases before and after implementation of the comprehensive First Responder system, the project seeks to provide robust, practice-oriented evidence to inform future development of prehospital emergency care systems in Switzerland and comparable settings.

The Role of Stress in Cardiac Arrest (Cortizol CPR)

The aim of this study is to assess long-term stress in patients after an out-of-hospital cardiac arrest. To do this, we will measure levels of the stress hormone cortisol in hair samples. Cortisol is produced in larger amounts during periods of ongoing stress and builds up in the hair as it grows. Because hair grows about 1 cm per month, a 3 cm hair sample can show your average stress level over the past three months. The results will be compared with anonymized information from your medical records and the care you received before and during your hospital stay.

the Effectiveness of Continuous Compression-synchronous Ventilation (Bio-CPR)

Bio-CPR is an innovative new mechanical resuscitation model proposed by our research group. A multi-center RCT study was established to comprehensively evaluate the efficacy of this model and the current standard CPR protocol, verify its safety and efficacy, and provide high-quality clinical evidence support.

Effects of an Web-based Support Programme for Cardiac Arrest Survivors

The overall goal of this clinical trial is to learn if a web-based support programme can improve wellbeing in cardiac arrest survivors by helping them manage emotional, cognitive, and physical challenges. The study also explores how the programme is used and experienced in practice. The main questions it aims to answer are: * Can access to a web-based support programme improve overall wellbeing in cardiac arrest survivors? * Can it also enhance quality of life, cognitive function, life satisfaction, and sleep, while reducing anxiety, depression, post-traumatic stress, and fatigue? Researchers will compare cardiac arrest survivors who receive a web-based support programme in addition to standard care with those who receive standard care alone, to see if the programme improves wellbeing and other health outcomes. After the study, the control group will also gain access to the programme. Participants will: * Be asked to complete online questionnaires at three time points: at the start of the study, after 3 months, and after 6 months. * Be encouraged to use a web-based support programme for 3 months, with unlimited access, at their own pace and according to their individual needs (intervention group only).

Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).

Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day. Each call needs to be assessed based on the information given over the phone to determine how serious the case is. The reasons for calling range from minor health issues to life-threatening emergencies like cardiac arrest (CPA). This project focuses on improving telephone triage for four key emergency situations that often indicate severe or life-threatening conditions: Unconsciousness / Cardiac arrest Difficulty breathing Chest pain (non-traumatic, possible heart-related issues) Stroke symptoms Our goal is to make telephone triage more accurate and efficient by using advanced Artificial Intelligence (AI) techniques, including Machine Learning (ML) and Natural Language Processing (NLP). These tools will help CCUE operators make better and faster decisions, ensuring that patients receive the right care as quickly as possible. How it will be done: The investigators will analyze anonymized historical call data from the emergency coordination system (CCR) and digital clinical records (HCDM). This includes: Structured data: Predefined fields, such as answers to standard triage questions. Unstructured data: Free-text notes and other information recorded during the call. A hybrid AI approach will be used, combining: Traditional AI methods (supervised learning and deep learning) to classify cases. Generative AI techniques (advanced language models) to extract useful insights from free-text data. Building the Best Prediction Model To find the most effective AI model, we will test different machine learning techniques, including: Decision Trees Random Forests Support Vector Machines (SVM) XGBoost Ensemble methods Neural Networks We will also analyze which questions and variables are the most important in predicting the severity of a case. Based on this, we will suggest improvements to the current triage questions to enhance accuracy. Measuring Success We will evaluate the AI model using key performance metrics, including: Accuracy (overall correctness) Sensitivity (ability to detect real emergencies) Specificity (ability to avoid false alarms) False Positive \& False Negative Rates (how often the system makes mistakes) Likelihood Ratios (how well the system distinguishes between urgent and non-urgent cases) F1-Score \& ROC Curve (overall performance indicators) Why This Matters This project will assess how effective the current telephone triage system is and develop a new AI-powered model to improve it. The goal is to help emergency operators quickly identify the most serious cases, reducing response times and improving patient outcomes. In the future, the investigators aim to integrate this improved AI model into the CCUE system to enhance emergency response across Andalusia.

Adjusting CPR Location With TEE Guidance

Use Transesophageal ultrasound in OHCA patients to identify the proper compression location