AIMC Topic: United States
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Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data.
The Lancet. Digital health
Apr 12, 2021
BACKGROUND: Survival of liver transplant recipients beyond 1 year since transplantation is compromised by an increased risk of cancer, cardiovascular events, infection, and graft failure. Few clinical tools are available to identify patients at risk ...
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.
Journal of medical Internet research
Apr 5, 2021
BACKGROUND: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general...
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.
Diabetologia
Apr 2, 2021
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.
Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study.
JMIR mHealth and uHealth
Mar 29, 2021
BACKGROUND: In recent years, mobile-based interventions have received more attention as an alternative to on-site obesity management. Despite increased mobile interventions for obesity, there are lost opportunities to achieve better outcomes due to t...
Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (T2D) prevalence in the USA.
Scientific reports
Mar 26, 2021
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial and temporal scales, attributable to variations of socioeconomic and lifestyle risk factors. Understanding these variations in risk factors contributio...
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.
Journal of biomedical informatics
Mar 25, 2021
OBJECTIVE: Identifying symptoms and characteristics highly specific to coronavirus disease 2019 (COVID-19) would improve the clinical and public health response to this pandemic challenge. Here, we describe a high-throughput approach - Concept-Wide A...
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.
The Lancet. Digital health
Mar 24, 2021
BACKGROUND: Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with COVID-19. We aimed to develop and evaluate an artificial intelligence system using chest x-rays and ...
AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.
British journal of cancer
Mar 19, 2021
Smartphone applications ("apps") with artificial intelligence (AI) algorithms are increasingly used in healthcare. Widespread adoption of these apps must be supported by a robust evidence-base and app manufacturers' claims appropriately regulated. Cu...
Diagnostic Test Approval
Smartphone
Mobile Applications
United States
Early Detection of Cancer
Europe
United States Food and Drug Administration
Precancerous Conditions
Evidence-Based Medicine
European Union
Algorithms
Skin Neoplasms
Adult
Sensitivity and Specificity
Risk Assessment
Humans
Artificial Intelligence
Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.
PloS one
Mar 18, 2021
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with h...
Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning.
Journal of general internal medicine
Mar 16, 2021
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