Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …
applications in healthcare, such as health services management, predictive medicine …
Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
[HTML][HTML] Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU
Abstract Background Coronavirus disease-19 (COVID-19) is caused by the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of …
respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of …
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 …
Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
Artificial intelligence in intensive care medicine: toward a ChatGPT/GPT-4 way?
Y Lu, H Wu, S Qi, K Cheng - Annals of biomedical engineering, 2023 - Springer
Although intensive care medicine (ICM) is a relatively young discipline, it has rapidly
developed into a full-fledged and highly specialized specialty covering several fields of …
developed into a full-fledged and highly specialized specialty covering several fields of …
[HTML][HTML] Characteristics and outcomes of sepsis patients with and without COVID-19
L Heubner, S Hattenhauer, A Güldner… - Journal of Infection and …, 2022 - Elsevier
Background The aim of this study was to describe and compare clinical characteristics and
outcomes in critically ill septic patients with and without COVID-19. Methods From February …
outcomes in critically ill septic patients with and without COVID-19. Methods From February …
Intensive care and organ support related mortality in patients with COVID-19: A systematic review and meta-analysis
A Chandel, S Leazer, KC Alcover, J Farley… - Critical Care …, 2023 - journals.lww.com
OBJECTIVES: To perform a systematic review and meta-analysis to generate estimates of
mortality in patients with COVID-19 that required hospitalization, ICU admission, and organ …
mortality in patients with COVID-19 that required hospitalization, ICU admission, and organ …
Explainable machine learning with pairwise interactions for the classification of Parkinson's disease and SWEDD from clinical and imaging features
A Sarica, A Quattrone, A Quattrone - Brain Imaging and Behavior, 2022 - Springer
Scans without evidence of dopaminergic deficit (SWEDD) refers to patients who mimics
motor and non-motor symptoms of Parkinson's disease (PD) but showing integrity of …
motor and non-motor symptoms of Parkinson's disease (PD) but showing integrity of …
Development and validation of a machine learning model to predict the use of renal replacement therapy in 14,374 patients with COVID-19
ARM França, E Rocha, LSL Bastos, FA Bozza… - Journal of Critical …, 2024 - Elsevier
Purpose To develop a model to predict the use of renal replacement therapy (RRT) in
COVID-19 patients. Materials and methods Retrospective analysis of multicenter cohort of …
COVID-19 patients. Materials and methods Retrospective analysis of multicenter cohort of …