Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Potential applications and performance of machine learning techniques and algorithms in clinical practice: a systematic review
EM Nwanosike, BR Conway, HA Merchant… - International journal of …, 2022 - Elsevier
Purpose The advent of clinically adapted machine learning algorithms can solve numerous
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
problems ranging from disease diagnosis and prognosis to therapy recommendations. This …
Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying
Background The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-
Cov2 virus has become the greatest health and controversial issue for worldwide nations. It …
Cov2 virus has become the greatest health and controversial issue for worldwide nations. It …
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
F Saberi-Movahed, M Mohammadifard… - Computers in biology …, 2022 - Elsevier
One of the most critical challenges in managing complex diseases like COVID-19 is to
establish an intelligent triage system that can optimize the clinical decision-making at the …
establish an intelligent triage system that can optimize the clinical decision-making at the …
Emerging perovskite solar cell technology: remedial actions for the foremost challenges
Perovskite solar cells (PSCs) exhibit the steepest growth in power conversion efficiency
among the existing photovoltaic technologies. However, a wide range of factors restrict the …
among the existing photovoltaic technologies. However, a wide range of factors restrict the …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Digital transformation in personalized medicine with artificial intelligence and the internet of medical things
B Lin, S Wu - Omics: a journal of integrative biology, 2022 - liebertpub.com
Digital transformation is impacting every facet of science and society, not least because
there is a growing need for digital services and products with the COVID-19 pandemic. But …
there is a growing need for digital services and products with the COVID-19 pandemic. But …
Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin …
A Jahangirimehr, EA Shahvali, SM Rezaeijo… - Clinical Nutrition …, 2022 - Elsevier
Background & aims Considering that no standard therapy has yet been found for the novel
coronavirus disease (COVID-19), identifying severe cases as early as possible, and such …
coronavirus disease (COVID-19), identifying severe cases as early as possible, and such …
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
The application of artificial intelligence and data integration in COVID-19 studies: a scoping review
Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …
research and determine whether these AI applications integrated heterogenous data from …