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Application of machine learning methods for predicting infant mortality in Rwanda: analysis of Rwanda demographic health survey 2014-15 dataset.
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Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.
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A Deep Learning Model for the Automatic Recognition of Aplastic Anemia, Myelodysplastic Syndromes, and Acute Myeloid Leukemia Based on Bone Marrow Smear.
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Application of Convolutional Neural Network in the Diagnosis of Cavernous Sinus Invasion in Pituitary Adenoma.
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Updates in Artificial Intelligence for Breast Imaging.
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A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks.
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Machine learning application in personalised lung cancer recurrence and survivability prediction.
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Evaluation of the Combination of Artificial Intelligence and Radiologist Assessments to Interpret Malignant Architectural Distortion on Mammography.
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A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.
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Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.
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Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions.
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Artificial intelligence-assisted colonoscopy: a narrative review of current data and clinical applications.
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Using machine learning to predict health-related quality of life outcomes in patients with low grade glioma, meningioma, and acoustic neuroma.
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Predictive Modeling of Mental Illness Onset Using Wearable Devices and Medical Examination Data: Machine Learning Approach.
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Diabetic Retinopathy Grading by Deep Graph Correlation Network on Retinal Images Without Manual Annotations.
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From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations.
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A Pilot Study of Machine Learning-Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults.
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Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.
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Risks and benefits of dermatological machine learning healthcare applications - an overview and ethical analysis.
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Development and validation of an interpretable clinical score for early identification of acute kidney injury at the emergency department.
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Behavioral Predictive Analytics Towards Personalization for Self-management: a Use Case on Linking Health-Related Social Needs.
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Power of big data to improve patient care in gastroenterology.
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A mixed spatial prediction model in estimating spatiotemporal variations in benzene concentrations in Taiwan.
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Optimizing discharge after major surgery using an artificial intelligence-based decision support tool (DESIRE): An external validation study.
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Artificial intelligence and medical education: A global mixed-methods study of medical students' perspectives.
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Modern Learning from Big Data in Critical Care: Primum Non Nocere.
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A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study.
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A Qualitative Thematic Analysis of Addressing the Why: An Artificial Intelligence (AI) in Healthcare Symposium.
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Understanding e-cigarette content and promotion on YouTube through machine learning.
Kong Grace et al. Tobacco control 2022

Evaluating live performance of machine learning based prediction models for different clinical risks: a study of live systems in different hospitals.
Sun Hong et al. Journal of medical Internet research 2022

Monitoring and Evaluating College Students' Mental Health Based on Big Data Analysis.
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Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests.
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Deep learning-based atherosclerotic coronary plaque segmentation on coronary CT angiography.
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Bridging the Gap Between Artificial Intelligence Research and Clinical Practice in Cardiovascular Science: What the Clinician Needs to Know.
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Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.
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Machine learning-based model for prediction of clinical deterioration in hospitalized patients by COVID 19.
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Decision Support System for Predicting Survivability of Hepatitis Patients.
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Establishment and Implementation of Potential Fluid Therapy Balance Strategies for ICU Sepsis Patients Based on Reinforcement Learning.
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Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials.
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Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
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Impact of a Machine Learning-Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices.
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Dynamic sepsis prediction for intensive care unit patients using XGBoost-based model with novel time-dependent features.
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