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Machine learning to improve prognosis prediction of metastatic clear-cell renal cell carcinoma treated with cytoreductive nephrectomy and systemic therapy.
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Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning.
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Performance of a novel computer-aided diagnosis system in the characterization of colorectal polyps, and its role in meeting Preservation and Incorporation of Valuable Endoscopic Innovations standards set by the American Society of Gastrointestinal Endoscopy.
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Prostate Cancer Risk Prediction and Online Calculation Based on Machine Learning Algorithm.
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Prediction of early-stage melanoma recurrence using clinical and histopathologic features.
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Developing and testing a prediction model for periodontal disease using machine learning and big electronic dental record data.
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Fall detection using accelerometer-based smartphones: Where do we go from here?
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Prediction of violence in male schizophrenia using sMRI, based on machine learning algorithms.
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Tracking Daily Concentrations of PM Chemical Composition in China since 2000.
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Implementation Studies for AI-Based Tools in Healthcare Should Consider Clinician Competencies: Negative Findings from a Scoping Review.
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Heterogeneity in the Association Between the Presence of Coronary Artery Calcium and Cardiovascular Events: A Machine Learning Approach in the MESA Study.
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Artificial intelligence in cardiology: Hope for the future and power for the present.
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Identification of fibrosis in hypertrophic cardiomyopathy: a radiomic study on cardiac magnetic resonance cine imaging.
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From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units.
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The changing role of patients, and nursing and medical professionals as a result of digitalisation of health and heart failure care.
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AI-driven Stroke Rehabilitation Systems and Assessment: A Systematic Review.
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The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease.
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Multi-modal fusion model for predicting adverse cardiovascular outcome post percutaneous coronary intervention.
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Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features.
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Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.
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Comparison of Mortality Predictive Models of Sepsis Patients Based on Machine Learning.
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Deep learning model to predict Epstein-Barr virus associated gastric cancer in histology.
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Identifying Predictors of Anal HPV Status in HPV-Vaccinated MSM: A Machine Learning Approach.
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