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External Validation of a Mammography-Derived AI-Based Risk Model in a U.S. Breast Cancer Screening Cohort of White and Black Women.
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The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Cancer: A SEER-Based Study.
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How does the artificial intelligence-based image-assisted technique help physicians in diagnosis of pulmonary adenocarcinoma? A randomized controlled experiment of multicenter physicians in China.
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Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer.
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Analysing breast cancer survivors' acceptance profiles for using an electronic pillbox connected to a smartphone application using Seintinelles, a French community-based research tool.
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Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods.
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E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video Captures.
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A Virtual Chromoendoscopy Artificial Intelligence system to detect endoscopic and histologic activity/remission and predict clinical outcomes in Ulcerative Colitis.
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Detection of mild cognitive impairment in type 2 diabetes mellitus based on machine learning using privileged information.
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Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images.
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Environmental toxicity risk evaluation of nitroaromatic compounds: Machine learning driven binary/multiple classification and design of safe alternatives.
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Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal.
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Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.
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A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients.
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Turnaround time prediction for clinical chemistry samples using machine learning.
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Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics.
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Visualization and Analysis of Air Pollution and Human Health Based on Cluster Analysis: A Bibliometric Review from 2001 to 2021.
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Identifying Patients With Heart Failure Who Are Susceptible to De Novo Acute Kidney Injury: Machine Learning Approach.
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Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.
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Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging.
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Machine Learning Approach to Predict In-Hospital Mortality in Patients Admitted for Peripheral Artery Disease in the United States.
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Predicting Functional Outcome Using 24-hour Post-treatment Characteristics: Application of Machine Learning Algorithms in the STRATIS Registry.
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Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis.
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Prediction model of acute kidney injury after different types of acute aortic dissection based on machine learning.
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Meta-Analysis and Data Mining-Based Study on the Expression Characteristics of Inflammatory Factors and Causes of Recurrence in Spinal Tuberculosis.
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Biomarkers for the Prediction and Judgement of Sepsis and Sepsis Complications: A Step towards precision medicine?
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