Automatic determination of pubertal growth spurts based on the cervical vertebral maturation staging using deep convolutional neural networks.
Maryam Khazaei et al. Journal of the World federation of orthodontists 2023

Development and validation of a machine learning-based tool to predict autism among children.
Kim Steven Betts et al. Autism research : official journal of the International Society for Autism Research 2023

Biochemical identification of prepubertal boys with Klinefelter syndrome by combined reproductive hormone profiling using machine learning.
Andre Madsen et al. Endocrine connections 2023

Electronic medical records driven big data analytics in retinal diseases, report number 1: non-oncological retinal diseases in children and adolescents in India.
Komal Agarwal et al. International ophthalmology 2023

Deep learning in digital pathology for personalized treatment plans of cancer patients.
Zhuoyu Wen et al. Seminars in diagnostic pathology 2023

Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation.
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A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation.
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Integrative Scoring System for Survival Prediction in Patients With Locally Advanced Nasopharyngeal Carcinoma: A Retrospective Multicenter Study.
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Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.
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Diagnostic efficiency of existing guidelines and the AI-SONIC™ artificial intelligence for ultrasound-based risk assessment of thyroid nodules.
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Recurrence risk stratification for locally advanced cervical cancer using multi-modality transformer network.
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Applications of different machine learning approaches in prediction of breast cancer diagnosis delay.
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Artificial intelligence-based prediction of overall survival in metastatic renal cell carcinoma.
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Emerging Role of Artificial Intelligence in Diagnosis, Classification and Clinical Management of Glioma.
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The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists' perceptions thereof.
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Enhancing the Breast Histopathology Image Analysis for Cancer Detection Using Variational Autoencoder.
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Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer.
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Artificial Intelligence-Based Cervical Cancer Screening on Images Taken during Visual Inspection with Acetic Acid: A Systematic Review.
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Which model is better in predicting the survival of laryngeal squamous cell carcinoma?: Comparison of the random survival forest based on machine learning algorithms to Cox regression: analyses based on SEER database.
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Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
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Evaluation of computer aided detection during colonoscopy in the community (AI-SEE): a multicenter randomized clinical trial.
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Development and validation of an ensemble machine-learning model for predicting early mortality among patients with bone metastases of hepatocellular carcinoma.
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Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models.
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Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications.
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Artificial intelligence in uveitis: A comprehensive review.
Luis Filipe Nakayama et al. Survey of ophthalmology 2023

Usability and Clinician Acceptance of a Deep Learning-Based Clinical Decision Support Tool for Predicting Glaucomatous Visual Field Progression.
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Prediction of the sarcopenia in peritoneal dialysis using simple clinical information: A machine learning-based model.
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Recent trends in wearable device used to detect freezing of gait and falls in people with Parkinson's disease: A systematic review.
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Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.
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Automatic Segmentation of Periapical Radiograph Using Color Histogram and Machine Learning for Osteoporosis Detection.
Rini Widyaningrum et al. International journal of dentistry 2023 20236662911

Development and validation of sex-specific hip fracture prediction models using electronic health records: a retrospective, population-based cohort study.
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Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.
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Liquid Health. Medicine in the age of surveillance capitalism.
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Ethics Principles for Artificial Intelligence-Based Telemedicine for Public Health.
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Natural language processing in radiology: Clinical applications and future directions.
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Performance evaluation methods for improvements at post-market of artificial intelligence/machine learning-based computer-aided detection/diagnosis/triage in the United States.
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CIC 2022: Identifying high need primary care patients using nursing knowledge and machine learning methods.
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Using classification trees to identify psychotherapy patients at risk for poor treatment adherence.
Timothy Regan et al. Psychotherapy research : journal of the Society for Psychotherapy Research 2023 1-12

Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.
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Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of surgical pathology in the abdominopelvic cavity: a systematic review.
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Health equity innovation in precision medicine: Current challenges and future directions.
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Artificial Intelligence for Personalised Ophthalmology Residency Training.
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Artificial Intelligence and Public Health: An Exploratory Study.
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Predicting Low-Level Childhood Lead Exposure in Metro Atlanta Using Ensemble Machine Learning of High-Resolution Raster Cells.
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Artificial Intelligence, Augmented Reality, and Virtual Reality Advances and Applications in Interventional Radiology.
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Development and validation of a machine learning ASA-score to identify candidates for comprehensive preoperative screening and risk stratification.
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NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface.
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Validation of an automated machine learning algorithm for the detection and analysis of cerebral aneurysms.
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A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension.
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An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening.
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Machine Learning to Optimize the Echocardiographic Follow-Up of Aortic Stenosis.
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Benchmarking performance of an automatic polysomnography scoring system in a population with suspected sleep disorders.
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Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective.
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A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial.
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From Data to Diagnosis: How Machine Learning Is Changing Heart Health Monitoring.
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MRI Radiomics and Predictive Models in Assessing Ischemic Stroke Outcome-A Systematic Review.
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Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.
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Machine learning for prediction of bleeding in acute myocardial infarction patients after percutaneous coronary intervention.
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Development and validation of a respiratory-responsive vocal biomarker-based tool for generalizable detection of respiratory impairment: independent case-control studies in multiple respiratory conditions including asthma, chronic obstructive pulmonary disease, and COVID-19.
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Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques.
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Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.
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Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms.
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Machine learning-based clinical decision support systems for pregnancy care: A systematic review.
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Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles.
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