Virtual reality as an engaging and enjoyable method for delivering emergency clinical simulation training: a prospective, interventional study of medical undergraduates.

BACKGROUND: It is a requirement that medical students are educated in emergencies and feel well prepared for practice as a doctor, yet national surveys show that many students feel underprepared. Virtual reality (VR), combined with 360-degree filming, provides an immersive, realistic, and interactive simulation experience. Unlike conventional in-person simulation, it is scalable with reduced workforce demands. We sought to compare students' engagement and enjoyment of VR simulation to desktop computer-based simulation. METHODS: We conducted a prospective, interventional, evaluation study. The study was carried out on final year medical students undertaking their Pre-Foundation Assistantship (n = 116) at Imperial College School of Medicine (ICSM) in London. We compared objective engagement, subjective engagement, and subjective enjoyment of VR simulation to desktop computer-based simulation using cardiac arrest and life-threatening asthma scenarios. Engagement was measured objectively using students' physiological parameters, including heart rate and eye tracking, and facilitator observations using the validated 'Behavioural Engagement Related to Instruction' (BERI) protocol. Students' subjective engagement and enjoyment levels were measured using a post-session survey. RESULTS: Students' maximum heart rates were significantly higher during VR simulation with a mean difference of 4.2 beats per minute (3.2 to 5.2, p < 0.001), and eye tracking showed they spent a significantly greater mean percentage of time of 6.4% (5.1 to 7.7, p < 0.001) focusing on the scenarios in VR compared to standard desktop. Qualitative data showed students enjoyed and felt engaged with the sessions, which provided a safe space for learning. CONCLUSIONS: Our study shows that students found VR simulations enjoyable and were more engaged compared to standard desktop simulation. This suggests that 360-degree VR simulation experiences provide students with immersive, realistic training, which is scalable, giving them the unique opportunity to manage emergencies and work within emergency teams, which would not typically occur during traditional training.

Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.

OBJECTIVES: We aimed to develop a computer-aided detection (CAD) system to localize and detect the malposition of endotracheal tubes (ETTs) on portable supine chest radiographs (CXRs). DESIGN: This was a retrospective diagnostic study. DeepLabv3+ with ResNeSt50 backbone and DenseNet121 served as the model architecture for segmentation and classification tasks, respectively. SETTING: Multicenter study. PATIENTS: For the training dataset, images meeting the following inclusion criteria were included: 1) patient age greater than or equal to 20 years; 2) portable supine CXR; 3) examination in emergency departments or ICUs; and 4) examination between 2015 and 2019 at National Taiwan University Hospital (NTUH) (NTUH-1519 dataset: 5,767 images). The derived CAD system was tested on images from chronologically (examination during 2020 at NTUH, NTUH-20 dataset: 955 images) or geographically (examination between 2015 and 2020 at NTUH Yunlin Branch [YB], NTUH-YB dataset: 656 images) different datasets. All CXRs were annotated with pixel-level labels of ETT and with image-level labels of ETT presence and malposition. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: For the segmentation model, the Dice coefficients indicated that ETT would be delineated accurately (NTUH-20: 0.854; 95% CI, 0.824-0.881 and NTUH-YB: 0.839; 95% CI, 0.820-0.857). For the classification model, the presence of ETT could be accurately detected with high accuracy (area under the receiver operating characteristic curve [AUC]: NTUH-20, 1.000; 95% CI, 0.999-1.000 and NTUH-YB: 0.994; 95% CI, 0.984-1.000). Furthermore, among those images with ETT, ETT malposition could be detected with high accuracy (AUC: NTUH-20, 0.847; 95% CI, 0.671-0.980 and NTUH-YB, 0.734; 95% CI, 0.630-0.833), especially for endobronchial intubation (AUC: NTUH-20, 0.991; 95% CI, 0.969-1.000 and NTUH-YB, 0.966; 95% CI, 0.933-0.991). CONCLUSIONS: The derived CAD system could localize ETT and detect ETT malposition with excellent performance, especially for endobronchial intubation, and with favorable potential for external generalizability.

Current progress in international pediatric emergency medicine.

PURPOSE OF REVIEW: Over the past four decades, pediatric emergency Medicine (PEM) has witnessed significant global development, with a notable increase in training programs and official recognition by regulatory bodies. However, disparities persist in the recognition of PEM as an independent subspecialty, availability of training programs on a global scale, academic recognition, and the ability to provide high-quality care to children worldwide. There is paucity of published literature regarding development of PEM globally. This review explores the current trends and challenges in international pediatric emergency medicine. RECENT FINDINGS: Current trends in international pediatric emergency medicine encompass the provision of training in pediatric-focused emergency and acute care, increased propagation of evidence-based guidelines specific to the care of children, the growth of collaborative research networks and interest groups within national and international societies. Simultaneously, the field continues to face challenges such as the lack of recognition, inequities in access, and a lack of dissemination of global PEM initiatives. SUMMARY: While recent advancements have significantly enhanced the state of international pediatric emergency medicine, including pediatric specific research networks and training programs, barriers still hinder its overall quality. Many of these obstacles are not unique to pediatric emergency medicine but are directly affected by financial disparities and lack of governmental and public recognition of the essential role of pediatric emergency care.

American Board of Emergency Medicine Report on Residency and Fellowship Training Information (2023-2024).

The American Board of Emergency Medicine gathers extensive background information on Accreditation Council of Graduate Medical Education-accredited emergency medicine residency and fellowship programs as well as the residents and fellows training in those programs. We present the 2024 annual report on the status of physicians training in ACGME-accredited emergency medicine training programs in the United States.

Beyond the Four Walls: The American College of Emergency Physicians 2022 New Practice Models Task Force Report.

Emergency physicians are highly trained to deliver acute unscheduled care. The emergency physician core skillset gained during emergency medicine residency can be applied to many other roles that benefit patients and extend and diversify emergency physician careers. In 2022, the American College of Emergency Physicians (ACEP) convened the New Practice Models Task Force to describe new care models and emergency physician opportunities outside the 4 walls of the emergency department. The Task Force consisted of 21 emergency physicians with broad experience and 2 ACEP staff. Fifty-nine emergency physician roles were identified (21 established clinical roles, 16 emerging clinical roles, 9 established nonclinical roles, and 13 emerging nonclinical roles). A strength-weakness-opportunity-threat (SWOT) analysis was performed for each role. Using the analysis, the Task Force made recommendations for guiding ACEP internal actions, advocacy, education, and research opportunities. Emphasis was placed on urgent care, rural medicine, telehealth/virtual care, mobile integrated health care, home-based services, emergency psychiatry, pain medicine, addiction medicine, and palliative care as roles with high or rising demand that draw on the emergency physician skillset. Advocacy recommendations focused on removing state and federal regulatory and legislative barriers to the expansion of new and emerging roles. Educational recommendations focused on aggregating available resources, developing a centralized resource for career guidance, and new educational content for emerging roles. The Task Force also recommended promoting research on potential advantages (eg, improved outcomes, lower cost) of emergency physicians in certain roles and new care models (eg, emergency physician remote supervision in rural settings).

The AI Future of Emergency Medicine.

In the coming years, artificial intelligence (AI) and machine learning will likely give rise to profound changes in the field of emergency medicine, and medicine more broadly. This article discusses these anticipated changes in terms of 3 overlapping yet distinct stages of AI development. It reviews some fundamental concepts in AI and explores their relation to clinical practice, with a focus on emergency medicine. In addition, it describes some of the applications of AI in disease diagnosis, prognosis, and treatment, as well as some of the practical issues that they raise, the barriers to their implementation, and some of the legal and regulatory challenges they create.

Mental Practice: Applying Successful Strategies in Sports to the Practice of Emergency Medicine.

Emergency physicians are expected to learn and maintain a large and varied set of competencies for clinical practice. These include high acuity, low occurrence procedures that may not be encountered frequently in the clinical environment and are difficult to practice with high fidelity and frequency in a simulated environment. Mental practice is a form of a cognitive walk-through that has been shown to be an effective method for improving motor and cognitive skills, with literature in sports science and emerging evidence supporting its use in medicine. In this article, we review the literature on mental practice in sports and medicine as well as the underlying neuroscientific theories that support its use. We review best-known practices and provide a framework to design and use mental imagery scripts to augment learning and maintaining the competencies necessary for physicians at all levels of training and clinical environments in the practice of emergency medicine.

Emergency Medicine Postgraduate Year, Laryngoscopic View, and Endotracheal Tube Placement Success.

STUDY OBJECTIVE: Prior work has found first-attempt success improves with emergency medicine (EM) postgraduate year (PGY). However, the association between PGY and laryngoscopic view - a key step in successful intubation - is unknown. We examined the relationship among PGY, laryngoscopic view (ie, Cormack-Lehane view), and first-attempt success. METHODS: We performed a retrospective analysis of the National Emergency Airway Registry, including adult intubations by EM PGY 1 to 4 resident physicians. We used inverse probability weighting with propensity scores to balance confounders. We used weighted regression and model comparison to estimate adjusted odds ratios (aOR) with 95% confidence intervals (CIs) between PGY and Cormack-Lehane view, tested the interaction between PGY and Cormack-Lehane view on first-attempt success, and examined the effect modification of Cormack-Lehane view on the association between PGY and first-attempt success. RESULTS: After exclusions, we included 15,453 first attempts. Compared to PGY 1, the aORs for a higher Cormack-Lehane grade did not differ from PGY 2 (1.01; 95% CI 0.49 to 2.07), PGY 3 (0.92; 0.31 to 2.73), or PGY 4 (0.80; 0.31 to 2.04) groups. The interaction between PGY and Cormack-Lehane view was significant (P-interaction<0.001). In patients with Cormack-Lehane grade 3 or 4, the aORs for first-attempt success were higher for PGY 2 (1.80; 95% CI 1.17 to 2.77), PGY 3 (2.96; 1.66 to 5.27) and PGY 4 (3.10; 1.60 to 6.00) groups relative to PGY 1. CONCLUSION: Compared with PGY 1, PGY 2, 3, and 4 resident physicians obtained similar Cormack-Lehane views but had higher first-attempt success when obtaining a grade 3 or 4 view.

Test Characteristics of Emergency Medicine-Performed Point-of-Care Ultrasound for the Diagnosis of Acute Cholecystitis: A Systematic Review and Meta-analysis.

Acute cholecystitis accounts for up to 9% of hospital admissions for acute abdominal pain, and best practice entails early surgical management. Ultrasound is the standard modality used to confirm diagnosis. Our objective was to perform a systematic review and meta-analysis to determine the diagnostic accuracy of emergency physician-performed point-of-care ultrasound for the diagnosis of acute cholecystitis when compared with a reference standard of final diagnosis (informed by available surgical pathology, discharge diagnosis, and radiology-performed ultrasound). We completed a systematic review and meta-analysis, registered in PROSPERO, in adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched 7 databases as well as gray literature in the form of select conference abstracts from inception to February 8, 2023. Two independent reviewers completed study selection, data extraction, and risk of bias (QUADAS-2) assessment. Disagreements were resolved by consensus with a third reviewer. Data were extracted from eligible studies to create 2 × 2 tables for diagnostic accuracy meta-analysis. Hierarchical Summary Receiver Operating Characteristic models were constructed. Of 1855 titles/abstracts, 40 were selected for full-text review. Ten studies (n=2356) were included. Emergency physician-performed point-of-care ultrasound with final diagnosis as the reference standard (7 studies, n=1,772) had a pooled sensitivity of 70.9% (95% confidence interval [CI] 62.3 to 78.2), specificity of 94.4% (95% CI 88.2 to 97.5), positive likelihood ratio of 12.7 (5.8 to 27.5), and negative likelihood ratio of 0.31 (0.23 to 0.41) for the diagnosis of acute cholecystitis. Emergency physician-performed point-of-care ultrasound has high specificity and moderate sensitivity for the diagnosis of acute cholecystitis in patients with clinical suspicion. This review supports the use of emergency physician-performed point-of-care ultrasound to rule in a diagnosis of acute cholecystitis in the emergency department, which may help expedite definitive management.

Consensus-Driven Recommendations to Support Physician Pregnancy, Adoption, Surrogacy, Parental Leave, and Lactation in Emergency Medicine.

The emergency department clinical environment is unique, and guidelines for promoting supportive and equitable workplace cultures ensure success and longevity for pregnant persons and parents in emergency medicine. There is paucity, variability, and dissatisfaction with current parental (historically referred to as maternity and paternity) leave policies. This paper describes the development of consensus-derived recommendations to serve as a framework for emergency departments across the country for incorporating family-friendly policies. Policies that foster a family-inclusive workplace by allowing for professional advancement without sacrificing personal values regardless of sex, gender, and gender identity are critical for emergency medicine recruitment and retention.

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians.

STUDY OBJECTIVE: The workload of clinical documentation contributes to health care costs and professional burnout. The advent of generative artificial intelligence language models presents a promising solution. The perspective of clinicians may contribute to effective and responsible implementation of such tools. This study sought to evaluate 3 uses for generative artificial intelligence for clinical documentation in pediatric emergency medicine, measuring time savings, effort reduction, and physician attitudes and identifying potential risks and barriers. METHODS: This mixed-methods study was performed with 10 pediatric emergency medicine attending physicians from a single pediatric emergency department. Participants were asked to write a supervisory note for 4 clinical scenarios, with varying levels of complexity, twice without any assistance and twice with the assistance of ChatGPT Version 4.0. Participants evaluated 2 additional ChatGPT-generated clinical summaries: a structured handoff and a visit summary for a family written at an 8th grade reading level. Finally, a semistructured interview was performed to assess physicians' perspective on the use of ChatGPT in pediatric emergency medicine. Main outcomes and measures included between subjects' comparisons of the effort and time taken to complete the supervisory note with and without ChatGPT assistance. Effort was measured using a self-reported Likert scale of 0 to 10. Physicians' scoring of and attitude toward the ChatGPT-generated summaries were measured using a 0 to 10 Likert scale and open-ended questions. Summaries were scored for completeness, accuracy, efficiency, readability, and overall satisfaction. A thematic analysis was performed to analyze the content of the open-ended questions and to identify key themes. RESULTS: ChatGPT yielded a 40% reduction in time and a 33% decrease in effort for supervisory notes in intricate cases, with no discernible effect on simpler notes. ChatGPT-generated summaries for structured handoffs and family letters were highly rated, ranging from 7.0 to 9.0 out of 10, and most participants favored their inclusion in clinical practice. However, there were several critical reservations, out of which a set of general recommendations for applying ChatGPT to clinical summaries was formulated. CONCLUSION: Pediatric emergency medicine attendings in our study perceived that ChatGPT can deliver high-quality summaries while saving time and effort in many scenarios, but not all.

Recommendations for Choosing Wisely in Pediatric Emergency Medicine: Five Opportunities to Improve Value.

Unnecessary diagnostic tests and treatments in children cared for in emergency departments (EDs) do not benefit patients, increase costs, and may result in harm. To address this low-value care, a taskforce of pediatric emergency medicine (PEM) physicians was formed to create the first PEM Choosing Wisely recommendations. Using a systematic, iterative process, the taskforce collected suggested items from an interprofessional group of 33 ED clinicians from 6 academic pediatric EDs. An initial review of 219 suggested items yielded 72 unique items. Taskforce members independently scored each item for its extent of overuse, strength of evidence, and potential for harm. The 25 highest-rated items were sent in an electronic survey to all 89 members of the American Academy of Pediatrics PEM Committee on Quality Transformation (AAP COQT) to select their top ten recommendations. The AAP COQT survey had a 63% response rate. The five most selected items were circulated to over 100 stakeholder and specialty groups (within the AAP, CW Canada, and CW USA organizations) for review, iterative feedback, and approval. The final 5 items were simultaneously published by Choosing Wisely United States and Choosing Wisely Canada on December 1, 2022. All recommendations focused on decreasing diagnostic testing related to respiratory conditions, medical clearance for psychiatric conditions, seizures, constipation, and viral respiratory tract infections. A multinational PEM taskforce developed the first Choosing Wisely recommendation list for pediatric patients in the ED setting. Future activities will include dissemination efforts and interventions to improve the quality and value of care specific to recommendations.

A Longitudinal Survey on Canadian Emergency Physician Burnout.

STUDY OBJECTIVE: Since Canada eased pandemic restrictions, emergency departments have experienced record levels of patient attendance, wait times, bed blocking, and crowding. The aim of this study was to report Canadian emergency physician burnout rates compared with the same physicians in 2020 and to describe how emergency medicine work has affected emergency physician well-being. METHODS: This longitudinal study on Canadian emergency physician wellness enrolled participants in April 2020. In September 2022, participants were invited to a follow-up survey consisting of the Maslach Burnout Inventory and an optional free-text explanation of their experience. The primary outcomes were emotional exhaustion and depersonalization levels, which were compared with the Maslach Burnout Inventory survey conducted at the end of 2020. A thematic analysis identified common stressors, challenges, emotions, and responses among participants. RESULTS: The response rate to the 2022 survey was 381 (62%) of 615 between September 28 and October 28, 2022, representing all provinces or territories in Canada (except Yukon). The median participant age was 42 years. In total, 49% were men, and 93% were staff physicians with a median of 12 years of work experience. 59% of respondents reported high emotional exhaustion, and 64% reported high depersonalization. Burnout levels in 2022 were significantly higher compared with 2020. Prevalent themes included a broken health care system, a lack of societal support, and systemic workplace challenges leading to physician distress and loss of physicians from the emergency workforce. CONCLUSION: We found very high burnout levels in emergency physician respondents that have increased since 2020.

Recommendations for blood sampling in emergency departments from the European Society for Emergency Medicine (EUSEM), European Society for Emergency Nursing (EuSEN), and European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for the Preanalytical Phase. Executive summary.

AIM: Blood Sampling Guidelines have been developed to target European emergency medicine-related professionals involved in the blood sampling process (e.g. physicians, nurses, phlebotomists working in the ED), as well as laboratory physicians and other related professionals. The guidelines population focus on adult patients. The development of these blood sampling guidelines for the ED setting is based on the collaboration of three European scientific societies that have a role to play in the preanalytical phase process: EuSEN, EFLM, and EUSEM. The elaboration of the questions was done using the PICO procedure, literature search and appraisal was based on the GRADE methodology. The final recommendations were reviewed by an international multidisciplinary external review group. RESULTS: The document includes the elaborated recommendations for the selected sixteen questions. Three in pre-sampling, eight regarding sampling, three post-sampling, and two focus on quality assurance. In general, the quality of the evidence is very low, and the strength of the recommendation in all the questions has been rated as weak. The working group in four questions elaborate the recommendations, based mainly on group experience, rating as good practice. CONCLUSIONS: The multidisciplinary working group was considered one of the major contributors to this guideline. The lack of quality information highlights the need for research in this area of the patient care process. The peculiarities of the emergency medical areas need specific considerations to minimise the possibility of errors in the preanalytical phase.

Training labor and treatment behavior: Evidence from physician residency programs.

Public and private investments in physician human capital support a healthcare workforce to provide future medical services nationwide. Yet, little is known about how introducing training labor influences hospitals' provision of care. We leverage all-payer data and emergency medicine (EM) and obstetrics (OBGYN) residency program debuts to estimate local access and treatment intensity effects. We find that the introduction of EM programs coincides with less treatment intensity and suggestive increases in throughput. OBGYN programs adopt the pre-existing surgical tendencies of the hospital but may also relax some capacity constraints-allowing the marginal mother to avoid a riskier nearby hospital.

Reflexive control in emergency medicine.

Emergency physicians (EPs) navigate high-pressure environments, making rapid decisions amidst ambiguity. Their choices are informed by a complex interplay of experience, information, and external forces. While cognitive shortcuts (heuristics) expedite assessments, there are multiple ways they can be subtly manipulated, potentially leading to reflexive control: external actors steering EPs' decisions for their own benefit. Pharmaceutical companies, device manufacturers, and media narratives are among the numerous factors that influence the EPs' information landscape. Using tactics such as selective data dissemination, framing, and financial incentives, these actors can exploit pre-existing cognitive biases like anchoring, confirmation, and availability. This creates fertile ground for reflexive control, where EPs may believe they are acting independently while unknowingly serving the goals of external influencers. The consequences of manipulated decision making can be severe: misdiagnoses, inappropriate treatments, and increased healthcare costs. Ethical dilemmas arise when external pressures conflict with patient well-being. Recognizing these dangers empowers EPs to resist reflexive control through (1) critical thinking: examining information for potential biases and prioritizing evidence-based practices, (2) continuous education: learning about cognitive biases and mitigation strategies, and (3) institutional policies: implementing regulations to reduce external influence and to promote transparency. This vulnerability of emergency medicine decision making highlights the need for awareness, education, and robust ethical frameworks. Understanding reflexive control techniques is crucial for safeguarding patient care and promoting independent, ethical decision making in emergency medicine.

The American Journal of Emergency Medicine's policy on large language model usage in manuscript preparation: Balancing innovation and responsibility.

Large Language Models (LLMs) represent a transformative advancement in the preparation of medical scientific manuscripts, offering significant benefits such as reducing drafting time, enhancing linguistic precision, and aiding non-native English speakers. These models, which generate text by learning from extensive datasets, can streamline the publication process and maintain consistency across collaborative projects. However, their limitations, including the risk of generating plausible yet incorrect text and the potential for biases, necessitate careful oversight. Ethical concerns about accuracy, authorship, and transparency need to be carefully considered. The American Journal of Emergency Medicine has adopted a policy permitting LLM use with full disclosure and author responsibility, emphasizing the need for ongoing policy evolution in response to technological advancements.

EDucated: The emergency medicine pharmacotherapy literature of 2023.

The purpose of this article is to summarize pharmacotherapy related emergency medicine (EM) literature indexed in 2023. Articles were selected utilizing a modified Delphi approach. The table of contents from pre-determined journals were reviewed and independently evaluated via the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system by paired authors. Pharmacotherapy-related publications deemed to be GRADE 1A and 1B were reviewed by the collective group for inclusion in the review. In all, this article summarizes and provides commentary on the potential clinical impact of 13 articles, 6 guidelines, and 5 meta-analyses covering topics including guideline releases and updates on rapid sequence intubation in the critically ill, managing cardiac arrest or life-threatening toxicity due to poisoning, and management of major bleeding following trauma. Also discussed are ongoing controversies surrounding fluid resuscitation, time and treatment modalities for ischemic stroke, steroid use in community-acquired pneumonia, targeted blood product administration, and much more.

Evaluation of retracted articles in the field of emergency medicine on the web of science database.

BACKGROUND: The retraction of articles stands as the most significant mechanism employed to uphold the integrity of science, particularly in flawed studies. OBJECTIVES: This study aims to explore the reasons for article retractions in the field of emergency medicine and elucidate the problems arising from such retractions. The goal is to identify parameters in retracted articles that compromise scientific knowledge and raise awareness. MATERIAL AND METHODS: Retracted articles within the emergency medicine category were analyzed and assessed using the Web of Science database. The study sought to address the following questions: 1. In which year or years were the most articles retracted? 2. In which journals were the retracted articles published? 3. What is the distribution of topics in retracted articles? 4. What are the reasons for the retraction of articles? 5. What is the time difference and citation count between the publication and retraction years of the articles? RESULTS: The study delved into reasons for article retractions, types of retracted articles, and other relevant factors. A total of 61 retracted articles were examined and analyzed, revealing an increasing trend in the rate of article retractions over the years. The majority of retracted articles occurred in 2023, with the highest retraction rate identified in the "Emergency Medicine International" journal. On average, articles were retracted 356 days after publication. Reasons for retracted articles included concerns related to data, authorship issues, plagiarism, duplication, and biased or fraudulent peer review. CONCLUSIONS: This study provided an examination of retracted articles in the field of emergency medicine, highlighting a noteworthy increase in retractions due to various reasons. Despite retractions, it was observed that the citation counts of retracted articles increased. The growing number of retracted articles and frequent citations pose potential dangers from a scientific perspective, as citing retracted articles damages scientific integrity. The study underscores the importance of understanding the reasons for retracted articles and preventing the spread of such incidents in emergency medicine literature. The results, analyzed within various variables, indicate the need for further research and solutions, guiding future research efforts and contributing to the literature.

Comparison of emergency medicine specialist, cardiologist, and chat-GPT in electrocardiography assessment.

INTRODUCTION: ChatGPT, developed by OpenAI, represents the cutting-edge in its field with its latest model, GPT-4. Extensive research is currently being conducted in various domains, including cardiovascular diseases, using ChatGPT. Nevertheless, there is a lack of studies addressing the proficiency of GPT-4 in diagnosing conditions based on Electrocardiography (ECG) data. The goal of this study is to evaluate the diagnostic accuracy of GPT-4 when provided with ECG data, and to compare its performance with that of emergency medicine specialists and cardiologists. METHODS: This study has received approval from the Clinical Research Ethics Committee of Hitit University Medical Faculty on August 21, 2023 (decision no: 2023-91). Drawing on cases from the "150 ECG Cases" book, a total of 40 ECG cases were crafted into multiple-choice questions (comprising 20 everyday and 20 more challenging ECG questions). The participant pool included 12 emergency medicine specialists and 12 cardiology specialists. GPT-4 was administered the questions in a total of 12 separate sessions. The responses from the cardiology physicians, emergency medicine physicians, and GPT-4 were evaluated separately for each of the three groups. RESULTS: In the everyday ECG questions, GPT-4 demonstrated superior performance compared to both the emergency medicine specialists and the cardiology specialists (p < 0.001, p = 0.001). In the more challenging ECG questions, while Chat-GPT outperformed the emergency medicine specialists (p < 0.001), no significant statistical difference was found between Chat-GPT and the cardiology specialists (p = 0.190). Upon examining the accuracy of the total ECG questions, Chat-GPT was found to be more successful compared to both the Emergency Medicine Specialists and the cardiologists (p < 0.001, p = 0.001). CONCLUSION: Our study has shown that GPT-4 is more successful than emergency medicine specialists in evaluating both everyday and more challenging ECG questions. It performed better compared to cardiologists on everyday questions, but its performance aligned closely with that of the cardiologists as the difficulty of the questions increased.