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1.
Clin Chest Med ; 44(2): 215-226, 2023 06.
Artículo en Inglés | MEDLINE | ID: covidwho-2297437

RESUMEN

Because of the potential for high aerosol transmission during pulmonary function testing and pulmonary procedures, performing these tests and procedures must be considered carefully during the coronavirus disease-2019 (COVID-19) pandemic. Much has been learned about the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by aerosols and the potential for such transmission through pulmonary function tests and pulmonary procedures, and subsequently preventative practices have been enhanced and developed to reduce the risk of transmission of virus to patients and personnel. This article reviews what is known about the potential for transmission of SARS-CoV-2 during pulmonary function testing and pulmonary procedures and the recommended mitigation steps to prevent the spread of COVID-19.


Asunto(s)
COVID-19 , Humanos , COVID-19/prevención & control , SARS-CoV-2 , Transmisión de Enfermedad Infecciosa de Paciente a Profesional/prevención & control , Aerosoles y Gotitas Respiratorias , Pruebas de Función Respiratoria
2.
Eur Respir Rev ; 29(157)2020 Sep 30.
Artículo en Inglés | MEDLINE | ID: covidwho-810449

RESUMEN

Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and electronic health records. Such massive growth has sparked the development of an increasing number of AI-based applications that can be deployed in clinical practice. Pulmonary specialists who are familiar with the principles of AI and its applications will be empowered and prepared to seize future practice and research opportunities. The goal of this review is to provide pulmonary specialists and other readers with information pertinent to the use of AI in pulmonary medicine. First, we describe the concept of AI and some of the requisites of machine learning and deep learning. Next, we review some of the literature relevant to the use of computer vision in medical imaging, predictive modelling with machine learning, and the use of AI for battling the novel severe acute respiratory syndrome-coronavirus-2 pandemic. We close our review with a discussion of limitations and challenges pertaining to the further incorporation of AI into clinical pulmonary practice.


Asunto(s)
Algoritmos , Inteligencia Artificial , Betacoronavirus , Infecciones por Coronavirus/diagnóstico , Atención a la Salud/métodos , Aprendizaje Automático , Neumonía Viral/diagnóstico , Neumología/métodos , COVID-19 , Humanos , Pandemias , SARS-CoV-2
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