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References from Artificial intelligence meets venous thromboembolism: informaticians’ insights on diagnosis, prevention, and management. Local targets link to admitted publications; unresolved targets remain external evidence.
Call to action to prevent venous thromboembolism in hospitalized patients: a policy statement from the American Heart Association
10.1161/cir.0000000000000769 · 2020 · External reference
VTE epidemiology and challenges for VTE prevention at the population level
10.1016/j.tru.2023.100132 · 2023 · External reference
American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism
10.1182/bloodadvances.2020001830 · 2020 · External reference
American Society of Hematology 2018 guidelines for management of venous thromboembolism: prophylaxis for hospitalized and nonhospitalized medical patients
10.1182/bloodadvances.2018022954 · 2018 · External reference
Anticoagulant prophylaxis to prevent asymptomatic deep vein thrombosis in hospitalized medical patients: a systematic review and meta-analysis
10.1111/j.1538-7836.2007.02847.x · 2008 · External reference
Improving adherence to risk stratification guidelines regarding venous thromboembolism prophylaxis
2022 · External reference
Use of venous thromboembolism prophylaxis in hospitalized patients
10.1001/jamainternmed.2018.2022 · 2018 · External reference
Venous thromboembolism quality measures fail to accurately measure quality
10.1161/circulationaha.116.026897 · 2018 · External reference
Current challenges in diagnosis of venous thromboembolism
2020 · External reference
Comparison of conventional statistical methods with machine learning in medicine: diagnosis, drug development, and treatment
10.3390/medicina56090455 · 2020 · External reference
Big data and machine learning algorithms for health-care delivery
10.1016/s1470-2045(19)30149-4 · 2019 · External reference
Prediction and diagnosis of venous thromboembolism using artificial intelligence approaches: a systematic review and meta-analysis
10.1177/10760296211021162 · 2021 · External reference
A systematic review and meta-analysis of artificial intelligence tools in medicine and healthcare: applications, considerations, limitations, motivation and challenges
10.3390/diagnostics14010109 · 2024 · External reference
Artificial intelligence for venous thromboembolism prophylaxis: clinician perspectives
10.1016/j.rpth.2023.102272 · 2023 · External reference
The potential use of artificial intelligence for venous thromboembolism prophylaxis and management: clinician and healthcare informatician perspectives
10.1038/s41598-024-62535-9 · 2024 · External reference
Venous thromboembolism prophylaxis for hospitalized adult patients: a survey of US health care providers on attitudes and practices
10.1016/j.rpth.2023.102168 · 2023 · External reference
Research electronic data capture (redcap)—a metadata-driven methodology and workflow process for providing translational research informatics support
10.1016/j.jbi.2008.08.010 · 2009 · External reference
The redcap consortium: building an international community of software platform partners
10.1016/j.jbi.2019.103208 · 2019 · External reference
The potential of artificial intelligence to improve patient safety: a scoping review
10.1038/s41746-021-00423-6 · 2021 · External reference
10.1016/s1470-2045(23)00298-x
10.1016/s1470-2045(23)00298-x · 2023 · External reference
Artificial intelligence in the prediction of venous thromboembolism: a systematic review and pooled analysis
10.1111/ejh.14110 · 2023 · External reference
Explainable artificial intelligence for predictive modeling in healthcare
10.1007/s41666-022-00114-1 · 2022 · External reference
Ethical and legal challenges of artificial intelligence-driven healthcare
2020 · External reference
Addressing bias in artificial intelligence in health care
10.1001/jama.2019.18058 · 2019 · External reference
Clinicians’ perceptions of artificial intelligence: focus on workload, risk, trust, clinical decision making, and clinical integration
10.3390/healthcare11162308 · 2023 · External reference
Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum
10.1001/jamainternmed.2023.1838 · 2023 · External reference
Do patients trust computers?
10.1002/bdm.542 · 2006 · External reference
Bridging the divide between data scientists and clinicians
2022 · External reference
A governance model for the application of AI in health care
10.1093/jamia/ocz192 · 2020 · External reference
