Artificial intelligence-enabled healthcare delivery

S Reddy, J Fox, MP Purohit - Journal of the Royal Society of …, 2019 - journals.sagepub.com
In recent years, there has been massive progress in artificial intelligence (AI) with the
development of deep neural networks, natural language processing, computer vision and …

[HTML][HTML] Applications of big data analytics to control COVID-19 pandemic

SJ Alsunaidi, AM Almuhaideb, NM Ibrahim, FS Shaikh… - Sensors, 2021 - mdpi.com
The COVID-19 epidemic has caused a large number of human losses and havoc in the
economic, social, societal, and health systems around the world. Controlling such epidemic …

The impact of COVID-19 on patients with asthma

JL Izquierdo, C Almonacid, Y González… - European …, 2021 - Eur Respiratory Soc
Background An association between the severity of coronavirus disease 2019 (COVID-19)
and the presence of certain chronic conditions has been suggested. However, unlike …

[HTML][HTML] Clinical characteristics and prognostic factors for intensive care unit admission of patients with COVID-19: retrospective study using machine learning and …

JL Izquierdo, J Ancochea… - Journal of medical …, 2020 - jmir.org
Background Many factors involved in the onset and clinical course of the ongoing COVID-19
pandemic are still unknown. Although big data analytics and artificial intelligence are widely …

Applications of artificial intelligence in cardiology. The future is already here

PI Dorado-Díaz, J Sampedro-Gómez… - Revista Española de …, 2019 - Elsevier
There is currently no other hot topic like the ability of current technology to develop
capabilities similar to those of human beings, even in medicine. This ability to simulate the …

Evidence of gender differences in the diagnosis and management of coronavirus disease 2019 patients: an analysis of electronic health records using natural …

J Ancochea, JL Izquierdo… - Journal of Women's …, 2021 - liebertpub.com
Background: The impact of sex and gender in the incidence and severity of coronavirus
disease 2019 (COVID-19) remains controversial. Here, we aim to describe the …

[HTML][HTML] Artificial intelligence in clinical decision support: a focused literature survey

S Montani, M Striani - Yearbook of medical informatics, 2019 - thieme-connect.com
Objectives: This survey analyses the latest literature contributions to clinical decision support
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …

Clinical management of COPD in a real-world setting. A big data analysis

JL Izquierdo, D Morena, Y González… - Archivos de …, 2021 - Elsevier
Objective The aim of this study was to evaluate the quality of diagnosis and treatment of
COPD using Big Data methodology on the Savana Manager 2.1 clinical platform. Materials …

[HTML][HTML] Assessing the performance of clinical natural language processing systems: development of an evaluation methodology

L Canales, S Menke, S Marchesseau… - JMIR Medical …, 2021 - medinform.jmir.org
Background: Clinical natural language processing (cNLP) systems are of crucial importance
due to their increasing capability in extracting clinically important information from free text …

Artificial intelligence and machine learning in respiratory medicine

E Mekov, M Miravitlles, R Petkov - Expert review of respiratory …, 2020 - Taylor & Francis
Introduction The application of artificial intelligence (AI) and machine learning (ML) in
medicine and in particular in respiratory medicine is an increasingly relevant topic. Areas …