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Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight: Using machine-learning methods to achieve balance in inverse-probability weights.
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Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning.
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Rapid Progress in Intelligent Radiotherapy and Future Implementation.
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Application of Deep Learning Technology in Glioma.
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Analysis of the Diagnosis Model of Peripheral Non-Small-Cell Lung Cancer under Computed Tomography Images.
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MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients.
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An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.
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Scoring systems for the management of oncological hepato-pancreato-biliary patients.
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Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors.
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A Study of Thyroid Fine Needle Aspiration of Follicular Adenoma in the "Atypia of Undetermined Significance" Bethesda Category Using Digital Image Analysis.
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A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies.
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Older Adults' and Clinicians' Perspectives on a Smart Health Platform for the Aging Population: Design and Evaluation Study.
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The effectiveness of post-professional physical therapist training in the treatment of chronic low back pain using a propensity score approach with machine learning.
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Segmentation and Classification of Glaucoma Using U-Net with Deep Learning Model.
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Ethical Issues of Artificial Intelligence in Medicine and Healthcare.
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Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine.
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A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.
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Systematic Review of Health Economic Evaluations Focused on Artificial Intelligence in Healthcare: The Tortoise and the Cheetah.
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Chatbot-Delivered Psychotherapy for Adults With Depressive and Anxiety Symptoms: A Systematic Review and Meta-Regression.
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Radiomics and Artificial Intelligence: From Academia to Clinical Practice.
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Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification.
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Report of clinical bone age assessment using deep learning for an Asian population in Taiwan.
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Detecting and Measuring Depression on Social Media Using a Machine Learning Approach: Systematic Review.
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The digital scent device as a new concept for olfactory assessment.
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Development and assessment of a natural language processing model to identify residential instability in electronic health records' unstructured data: a comparison of 3 integrated healthcare delivery systems.
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The evolving field of Big Data: understanding geographic information systems analysis and its transformative potential in ophthalmic research.
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Machine Learning With Electronic Health Record Data Outperforms a Risk Assessment Prediction Tool in Predicting Discharge Disposition After Total Joint Arthroplasty.
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Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
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Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.
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State of the Art of Machine Learning-Enabled Clinical Decision Support in Intensive Care Units: Literature Review.
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A Data-Driven Algorithm to Recommend Initial Clinical Workup for Outpatient Specialty Referral: Algorithm Development and Validation Using Electronic Health Record Data and Expert Surveys.
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Real-time prediction of smoking activity using machine learning based multi-class classification model.
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Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study.
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Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients.
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A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma.
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Development and evaluation of a predictive algorithm for unsatisfactory response among patients with pulmonary arterial hypertension using health insurance claims data.
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Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques.
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Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke.
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Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research.
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Electronic medical record-based deep data cleaning and phenotyping improve the diagnostic validity and mortality assessment of infective endocarditis: medical big data initiative of CMUH.
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A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis.
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Is it useful to use computerized tomography image-based artificial intelligence modelling in the differential diagnosis of chronic otitis media with and without cholesteatoma?
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