Population Health Research Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
Jeremy Petch, Shuang Di, Walter Nelson
2021 · 531 Zit.
Machine Learning–Based Early Warning Systems for Clinical Deterioration: Systematic Scoping Review
Sankavi Muralitharan, Walter Nelson, Shuang Di et al.
2020 · 139 Zit.
Applications of artificial intelligence and machine learning in heart failure
Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer et al.
2022 · 95 Zit.
Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review
Xiaomei Yao, Mithilesh V. Kumar, Esther Su et al.
2023 · 30 Zit.
Artificial intelligence bias in the prediction and detection of cardiovascular disease
Ariana Mihan, Ambarish Pandey, Harriette G.C. Van Spall
2024 · 28 Zit.
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo González, Ashirbani Saha, Clinton J.V. Campbell et al.
2023 · 19 Zit.
A machine learning–based clinical decision support algorithm for reducing unnecessary coronary angiograms
Jon-David Schwalm, Shuang Di, Tej Sheth et al.
2021 · 15 Zit.
Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment
Dhakshenya Ardhithy Dhinagaran, Thirunavukkarasu Sathish, Tobias Kowatsch et al.
2021 · 15 Zit.
Great debate: artificial intelligence will replace much of what cardiologists do
Tauben Averbuch, Folkert W. Asselbergs, Panos E. Vardas et al.
2025 · 4 Zit.
Development and evaluation of large-language models (LLMs) for oncology: A scoping review
Namya Mehan, Teshan Dias Desinghe, Ashirbani Saha
2025 · 3 Zit.
Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial
Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth et al.
2025 · 3 Zit.
Evaluation of artificial intelligence-based tool Covidence in literature screening for guideline updates: a prospective study
Xiaomei Yao, Ashley Low, Duvaraga Sivajohanathan et al.
2025 · 1 Zit.
Use of Machine Learning to Derive Discrete Clinical Phenotypes and Assess Treatment-Effect Heterogeneity in the Steroids in Cardiac Surgery Trial Dataset
Andra E. Duncan, Karan Shah, Manshu Yan et al.
2025 · 1 Zit.
An artificial intelligence prediction model for optimizing patient selection for cardiac imaging for the investigation of suspected coronary artery disease
Jeremy Petch, Shuang Di, T. Joseph Watson et al.
2026 · 0 Zit.
Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data
Brittany Humphries, Jafna L. Cox, Ratika Parkash et al.
2023 · 0 Zit.