RESUMEN
The stimulus to create this document was the recognition that ionizing radiation-guided cardiovascular procedures are being performed with increasing frequency, leading to greater patient radiation exposure and, potentially, to greater exposure to clinical personnel. While the clinical benefit of these procedures is substantial, there is concern about the implications of medical radiation exposure. ACC leadership concluded that it is important to provide practitioners with an educational resource that assembles and interprets the current radiation knowledge base relevant to cardiovascular procedures. By applying this knowledge base, cardiovascular practitioners will be able to select procedures optimally, and minimize radiation exposure to patients and to clinical personnel. "Optimal Use of Ionizing Radiation in Cardiovascular Imaging - Best Practices for Safety and Effectiveness" is a comprehensive overview of ionizing radiation use in cardiovascular procedures and is published online. To provide the most value to our members, we divided the print version of this document into 2 focused parts. "Part I: Radiation Physics and Radiation Biology" addresses radiation physics, dosimetry and detrimental biologic effects. "Part II: Radiologic Equipment Operation, Dose-Sparing Methodologies, Patient and Medical Personnel Protection" covers the basics of operation and radiation delivery for the 3 cardiovascular imaging modalities (x-ray fluoroscopy, x-ray computed tomography, and nuclear scintigraphy). For each modality, it includes the determinants of radiation exposure and techniques to minimize exposure to both patients and to medical personnel.
Asunto(s)
Técnicas de Imagen Cardíaca/normas , Enfermedades Cardiovasculares/diagnóstico por imagen , Exposición Profesional/normas , Dosis de Radiación , Exposición a la Radiación/normas , Benchmarking/normas , Consenso , Medicina Basada en la Evidencia/normas , Humanos , Exposición Profesional/efectos adversos , Exposición Profesional/prevención & control , Seguridad del Paciente/normas , Valor Predictivo de las Pruebas , Exposición a la Radiación/efectos adversos , Exposición a la Radiación/prevención & control , Medición de Riesgo , Factores de RiesgoRESUMEN
The stimulus to create this document was the recognition that ionizing radiation-guided cardiovascular procedures are being performed with increasing frequency, leading to greater patient radiation exposure and, potentially, to greater exposure for clinical personnel. Although the clinical benefit of these procedures is substantial, there is concern about the implications of medical radiation exposure. The American College of Cardiology leadership concluded that it is important to provide practitioners with an educational resource that assembles and interprets the current radiation knowledge base relevant to cardiovascular procedures. By applying this knowledge base, cardiovascular practitioners will be able to select procedures optimally, and minimize radiation exposure to patients and to clinical personnel. Optimal Use of Ionizing Radiation in Cardiovascular Imaging: Best Practices for Safety and Effectiveness is a comprehensive overview of ionizing radiation use in cardiovascular procedures and is published online. To provide the most value to our members, we divided the print version of this document into 2 focused parts. Part I: Radiation Physics and Radiation Biology addresses the issue of medical radiation exposure, the basics of radiation physics and dosimetry, and the basics of radiation biology and radiation-induced adverse effects. Part II: Radiological Equipment Operation, Dose-Sparing Methodologies, Patient and Medical Personnel Protection covers the basics of operation and radiation delivery for the 3 cardiovascular imaging modalities (x-ray fluoroscopy, x-ray computed tomography, and nuclear scintigraphy) and will be published in the next issue of the Journal.
Asunto(s)
Técnicas de Imagen Cardíaca/normas , Enfermedades Cardiovasculares/diagnóstico por imagen , Dosis de Radiación , Exposición a la Radiación/normas , Benchmarking/normas , Consenso , Medicina Basada en la Evidencia/normas , Humanos , Seguridad del Paciente/normas , Valor Predictivo de las Pruebas , Exposición a la Radiación/efectos adversos , Exposición a la Radiación/prevención & control , Medición de Riesgo , Factores de RiesgoAsunto(s)
Técnicas de Imagen Cardíaca/normas , Enfermedades Cardiovasculares/diagnóstico por imagen , Dosis de Radiación , Exposición a la Radiación/normas , Benchmarking/normas , Consenso , Medicina Basada en la Evidencia/normas , Humanos , Seguridad del Paciente/normas , Valor Predictivo de las Pruebas , Exposición a la Radiación/efectos adversos , Exposición a la Radiación/prevención & control , Medición de Riesgo , Factores de RiesgoRESUMEN
Several agents intended to supplement dietary intake or endogenous molecules may have a theoretical role in preventing or treating COVID-19. Because of their potential to influence immune response, ascorbic acid (vitamin C), zinc, vitamin D, and N-acetylcysteine have been hypothesized to be useful for prevention or treatment of COVID-19. The authors outline the biologic plausibility, applicable clinical data, and potential role of each of these agents.
RESUMEN
Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are becoming increasingly important to researchers and clinicians. The first objective of this review is to provide the novice reader with literacy of AI/ML methods and provide a foundation for how one might conduct an ML study. We provide a technical overview of some of the most commonly used terms, techniques, and challenges in AI/ML studies, with reference to recent studies in cardiac electrophysiology to illustrate key points. The second objective of this review is to use examples from recent literature to discuss how AI and ML are changing clinical practice and research in cardiac electrophysiology, with emphasis on disease detection and diagnosis, prediction of patient outcomes, and novel characterization of disease. The final objective is to highlight important considerations and challenges for appropriate validation, adoption, and deployment of AI technologies into clinical practice.