The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations
U Pagallo, S O'Sullivan, N Nevejans, A Holzinger… - Health and …, 2024 - Springer
Purpose This contribution explores the underuse of artificial intelligence (AI) in the health
sector, what this means for practice, and how much the underuse can cost. Attention is …
sector, what this means for practice, and how much the underuse can cost. Attention is …
[HTML][HTML] Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis
C Wang, S Liu, Y Tang, H Yang, J Liu - Journal of Medical Internet …, 2023 - jmir.org
Background Deep learning (DL) prediction models hold great promise in the triage of COVID-
19. Objective We aimed to evaluate the diagnostic test accuracy of DL prediction models for …
19. Objective We aimed to evaluate the diagnostic test accuracy of DL prediction models for …
Predicting sequenced dental treatment plans from electronic dental records using deep learning
H Chen, P Liu, Z Chen, Q Chen, Z Wen, Z Xie - Artificial Intelligence in …, 2024 - Elsevier
Background Designing appropriate clinical dental treatment plans is an urgent need
because a growing number of dental patients are suffering from partial edentulism with the …
because a growing number of dental patients are suffering from partial edentulism with the …
[HTML][HTML] An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data
K Schutte, F Brulport, S Harguem-Zayani… - European Journal of …, 2022 - Elsevier
Background The need for developing new biomarkers is increasing with the emergence of
many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in …
many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in …
External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019
Background The coronavirus disease 2019 (COVID-19) presents an urgent threat to global
health. Prediction models that accurately estimate mortality risk in hospitalized patients …
health. Prediction models that accurately estimate mortality risk in hospitalized patients …
[HTML][HTML] Predictors of worsening oxygenation in COVID-19
JY Oh - Tuberculosis and Respiratory Diseases, 2021 - ncbi.nlm.nih.gov
1. Gates B. Responding to COVID-19: a once-in-a-century pandemic? N Engl J Med 2020;
382: 1677-9. 2. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC …
382: 1677-9. 2. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC …
[PDF][PDF] Optimal Triage for COVID-19 Patients Under Limited Intensive Care Unit Capacity: Development of a Parsimonious Machine Learning Prediction Model and …
JM Kim, HK Lim, JH Ahn, KH Lee, KS Lee, KC Koo - 2021 - pdfs.semanticscholar.org
Background: The coronavirus disease 2019 (COVID-19) pandemic has caused an
unprecedented burden on healthcare systems. To effectively triage COVID-19 patients …
unprecedented burden on healthcare systems. To effectively triage COVID-19 patients …
[PDF][PDF] EVALUation of National Implementation of the ISARIC 4C Mortality Score in United Kingdom hospitals (VALUE 4C)
A Monklands, J Perkins, A MacConnachie - nitcollaborative.org.uk
EVALUation of National Implementation of the ISARIC 4C Mortality Score in United Kingdom
hospitals (VALUE 4C) Page 1 1 VALUE 4C STUDY PROTOCOL v1.1 EVALUation of National …
hospitals (VALUE 4C) Page 1 1 VALUE 4C STUDY PROTOCOL v1.1 EVALUation of National …