Early Childhood Predictors for Dental Caries: A Machine Learning Approach.
L Toledo Reyes et al. J Dent Res 2023 220345231170535

Symptoms for early diagnosis of chronic kidney disease in children - a machine learning-based score.
Paulo Cesar Koch Nogueira et al. Eur J Pediatr 2023

Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020.
Tom M de Groot et al. Clin Orthop Relat Res 2023

Clinical evaluation of a deep learning segmentation model including manual adjustments afterwards for locally advanced breast cancer.
Nienke Bakx et al. Tech Innov Patient Support Radiat Oncol 2023 26100211

Overall survival prediction models for gynecological endometrioid adenocarcinoma with squamous differentiation (GE-ASqD) using machine-learning algorithms.
Xiangmei Liu et al. Sci Rep 2023 13(1) 8395

Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population-based observational study.
Maria-Eleni Syleouni et al. Int J Cancer 2023

The Effects of Artificial Intelligence Assistance on the Radiologists' Assessment of Lung Nodules on CT Scans: A Systematic Review.
Lotte J S Ewals et al. J Clin Med 2023 12(10)

Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data.
A Isosalo et al. Comput Biol Med 2023 161107023

Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care.
Lin Wang et al. Ren Fail 2023 45(1) 2215329

Field Measures Are All You Need: Predicting Need for Surgery in Elderly Ground-Level Fall Patients via Machine Learning.
Tara Shooshani et al. Am Surg 2023 31348231177917

Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.
Stefan Lucian Popa et al. Medicina (Kaunas) 2023 59(5)

[Evidence synthesis 2.0: how artificial intelligence is making systematic reviews more efficient.].
Davide Petri et al. Recenti Prog Med 2023 114(6) 359-361

Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.
Alison Giovanelli et al. J Med Internet Res 2023 25e40306

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study.
Jae Sung Kim et al. JMIR Form Res 2023 7e45991

Using machine-learning methods to predict in-hospital mortality through the Elixhauser index: A Medicare data analysis.
Jianfang Liu et al. Res Nurs Health 2023

The Quality and Utility of Artificial Intelligence in Patient Care.
Kai Wehkamp et al. Dtsch Arztebl Int 2023 (Forthcoming)

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.
Jin Li et al. NPJ Digit Med 2023 6(1) 98

Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review.
Jinsun Jung et al. Heliyon 2023 9(5) e16110

Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis.
Marc-Antoine Delbarre et al. JACC Cardiovasc Imaging 2023

Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.
Dejia Zhou et al. BMC Med Inform Decis Mak 2023 23(1) 99

Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
Ke Yun et al. J Transl Med 2023 21(1) 353

Artificial Intelligence Technologies in Cardiology.
Lukasz Ledzinski et al. J Cardiovasc Dev Dis 2023 10(5)

Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.
Yiwu Sun et al. BMC Anesthesiol 2023 23(1) 178

Pre-test probability for coronary artery disease in patients with chest pain based on machine learning techniques.
Byoung Geol Choi et al. Int J Cardiol 2023

Development, Evaluation, and Multisite Deployment of a Machine Learning Decision Tree Algorithm To Optimize Urinalysis Parameters for Predicting Urine Culture Positivity.
Jansen N Seheult et al. J Clin Microbiol 2023 e0029123

Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
Roneel V Sharan et al. Int J Med Inform 2023 176105093

COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID-19 Vaccination Tweets.
Miftahul Qorib et al. Int J Environ Res Public Health 2023 20(10)

Triaging Patients With Artificial Intelligence for Respiratory Symptoms in Primary Care to Improve Patient Outcomes: A Retrospective Diagnostic Accuracy Study.
Steindór Ellertsson et al. Ann Fam Med 2023 21(3) 240-248