Abstract In the realm of modern cardiology, the integration of computer-interpreted electrocardiograms (CI-ECGs) has marked the beginning of a new era of diagnostic precision and efficiency. Contemporary electrocardiogram (ECG) integration systems, applying algorithms and artificial intelligence, have modernized the interpretation of heart rhythms and cardiac morphology. Due to their ability to rapidly analyze and interpret ECG recordings CI-ECGs have already profoundly impacted clinical practice. This review explores the evolution of computer interpreted ECG technology, evaluates the pros and cons of current automatic reporting systems, analyzes the growing role of artificial intelligence on ECG interpretation technologies, and discusses emerging applications that may have transformative effects on patient outcomes. Emphasis is placed on the role of ECGs in the automatic diagnosis of occlusion myocardial infarctions (OMI). AI models enhance accuracy and efficiency in ECG interpretation, offering insights into cardiac function and aiding timely detection of concerning patterns for accurate clinical diagnoses. The shift to AI-driven diagnostics has emphasized the importance of data in the realm of cardiology by improving patient care. The integration of novel AI models in ECG analysis has created a promising future for ECG diagnostics through a synergistic fusion of feature-based machine learning models, deep learning approaches, and clinical acumen. Overall, CI-ECGs have transformed cardiology practice, offering rapid, accurate, and standardized analyses. These systems reduce interpretation time significantly, allowing for quick identification of abnormalities. However, sole reliance on automated interpretations may overlook nuanced findings, risking diagnostic errors. Therefore, a balanced approach in integrating automated analysis with clinical judgment is necessary. computerinterpreted CIECGs CI (CI-ECGs (ECG morphology practice technology technologies outcomes OMI. OMI . (OMI) diagnoses AIdriven driven care featurebased feature based approaches acumen Overall rapid analyses significantly abnormalities However findings errors Therefore necessary (OMI

Resumo Embora o modelo existente de classificação do infarto agudo do miocárdio (IAM) em IAMCSST e IAMSSST tenha sido benéfico, considera-se hoje que ele falha em abordar a complexidade das síndromes coronarianas agudas. O estudo tem como objetivo examinar o atual paradigma IAMCSST-IAMSSST e defender um modelo mais detalhado, chamado de oclusão coronariana aguda (OCA) e Ausência de Oclusão Coronária Aguda (NOCA), para um diagnóstico e um manejo do IAM mais precisos. Realizou-se uma análise abrangente da literatura médica existente, com foco nas limitações do modelo IAMCSST-IAMSSST. O estudo também descreve uma nova abordagem diagnóstica para pacientes apresentando do torácica nos departamentos de emergência. O modelo IAMCSST-IAMSSST tradicional falha em prover um diagnóstico preciso e um tratamento efetivo, principalmente na identificação de oclusões da artéria coronária. O modelo OCA-NOCA é mais preciso em termos anatômicos e fisiológicos, e apoiado por pesquisa clínica extensa e opiniões de especialistas. Ele destaca a necessidade de rápida realização de eletrocardiogramas (ECGs) e terapias de reperfusão para casos suspeitos de OCA, visando melhorar os desfechos dos pacientes. O modelo OCA-NOCA abre um novo caminho para pesquisas e aplicações clínicas futuras. Ele defende um entendimento mais abrangente dos mecanismos subjacentes das síndromes coronarianas agudas, levando a planos individualizados de tratamentos. Espera-se que essa nova abordagem incite novos debates e pesquisas acadêmicas, principalmente na área de cardiologia no Brasil, com o objetivo de aumentar a precisão diagnóstica e a eficácia do tratamento de pacientes com IAM. (IAM benéfico considerase considera se agudas IAMCSSTIAMSSST detalhado OCA (OCA NOCA, NOCA , (NOCA) precisos Realizouse Realizou IAMCSSTIAMSSST. IAMSSST. emergência efetivo coronária OCANOCA fisiológicos especialistas ECGs (ECGs futuras tratamentos Esperase Espera acadêmicas Brasil (NOCA

Abstract Although the existing framework for classifying acute myocardial infarction (AMI) into STEMI and NSTEMI has been beneficial, it is now considered to be falling short in addressing the complexity of acute coronary syndromes. The study aims to scrutinize the current STEMI-NSTEMI paradigm and advocate for a more nuanced framework, termed as occlusion myocardial infarction (OMI) and non-occlusion myocardial infarction (NOMI), for a more accurate diagnosis and management of AMI. A comprehensive analysis of existing medical literature was conducted, with a focus on the limitations of the STEMI-NSTEMI model. The study also outlines a new diagnostic approach for patients presenting with chest pain in emergency settings. The traditional STEMI-NSTEMI model falls short in diagnostic precision and effective treatment, especially in identifying acute coronary artery occlusions. The OMI-NOMI framework offers a more anatomically and physiologically accurate model, backed by a wealth of clinical research and expert opinion. It underscores the need for quick ECG assessments and immediate reperfusion therapies for suspected OMI cases, aiming to improve patient outcomes. The OMI-NOMI framework offers a new avenue for future research and clinical application. It advocates for a more comprehensive understanding of the underlying mechanisms of acute coronary syndromes, leading to individualized treatment plans. This novel approach is expected to ignite further scholarly debate and research, particularly in the Brazilian cardiology sector, with the goal of enhancing diagnostic accuracy and treatment effectiveness in AMI patients. (AMI beneficial syndromes STEMINSTEMI (OMI nonocclusion non NOMI, NOMI , (NOMI) conducted settings occlusions OMINOMI opinion cases outcomes application plans sector (NOMI

BACKGROUND DNA- and proteomics-based techniques are currently used to identify a triatomine human blood meal. These methods are time consuming, require access to laboratories with sophisticated equipment, and trained personnel. OBJECTIVES We tested a rapid and specific immunochromatographic assay (that detects human blood in forensic samples) to determine if human blood was present in triatomines and their fecal excreta. METHODS We fed Triatoma rubida human blood (positive control) or mouse blood (negative control) and performed the assay on the abdominal contents and fecal excreta. Triatomine field specimens collected in and around human habitations and excreta were also tested. FINDINGS The assay was positive in triatomines fed human blood (N = 5/5) and fecal excreta from bugs known to have ingested human blood (N = 5/5). Bugs feeding on mice (N = 15/15) and their fecal excreta (N = 8/8) were negative for human blood. Human blood was detected in 47% (N = 23/49) triatomines, representing six different species, collected in the field. MAIN CONCLUSIONS The pilot study shows that this rapid and specific test may have applications in triatomine research. Further study is needed to determine the sensitivity of this assay compared to other well-established techniques, such as DNA- and proteomics-based methodologies and the assay’s application in the field.