Predictors of Human Milk Feeding and Direct Breastfeeding for Infants with Single Ventricle Congenital Heart Disease: Machine Learning Analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.
Kristin M Elgersma et al. J Pediatr 2023 113562

Evaluation of an AI Model to Assess Future Breast Cancer Risk.
Celeste Damiani et al. Radiology 2023 307(5) e222679

Identification of high-risk factors associated with mortality at 1-, 3-, and 5-year intervals in gastric cancer patients undergoing radical surgery and immunotherapy: an 8-year multicenter retrospective analysis.
Yuan Liu et al. Front Cell Infect Microbiol 2023 131207235

Construction of the XGBoost model for early lung cancer prediction based on metabolic indices.
Xiuliang Guan et al. BMC Med Inform Decis Mak 2023 23(1) 107

Reducing the number of unnecessary biopsies for mammographic BI-RADS 4 lesions through a deep transfer learning method.
Mingzhu Meng et al. BMC Med Imaging 2023 23(1) 82

Machine Learning-Based Development of Nomogram for Hepatocellular Carcinoma to Predict Acute Liver Function Deterioration After Drug-Eluting Beads Transarterial Chemoembolization.
Jie Li et al. Acad Radiol 2023

Prediction model for postoperative quality of life among breast cancer survivors along the survivorship trajectory from pretreatment to 5 years: Machine learning-based analysis.
Danbee Kang et al. JMIR Public Health Surveill 2023

Screening for degenerative cervical myelopathy with the 10-second grip-and-release test using a smartphone and machine learning: A pilot study.
Takuya Ibara et al. Digit Health 2023 920552076231179030

Prediction of osteoporosis using MRI and CT scans with unimodal and multimodal deep-learning models.
Yasemin Küçükçiloglu et al. Diagn Interv Radiol 2023

Predicting hyperkalemia in patients with advanced chronic kidney disease using the XGBoost model.
Hsin-Hsiung Chang et al. BMC Nephrol 2023 24(1) 169

A generalizable deep learning regression model for automated glaucoma screening from fundus images.
Ruben Hemelings et al. NPJ Digit Med 2023 6(1) 112

Comparison of causal forest and regression-based approaches to evaluate treatment effect heterogeneity: an application for type 2 diabetes precision medicine.
Ashwini Venkatasubramaniam et al. BMC Med Inform Decis Mak 2023 23(1) 110

Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review.
Dan Zhao et al. Comput Struct Biotechnol J 2023 213315-3326

T1dCteGui: A User-Friendly Clinical Trial Enrichment Tool to Optimize T1D Prevention Studies by Leveraging AI/ML based Synthetic Patient Population.
Mike Pauley et al. Clin Pharmacol Ther 2023

Risk predictions of hospital-acquired pressure injury in the intensive care unit based on a machine learning algorithm.
Pooya M Tehrany et al. Int Wound J 2023

Editorial: Clinical application of machine learning methods in psychiatric disorders.
Xiaozheng Liu et al. Front Psychiatry 2023 141209615

Artificial intelligence (AI) and public health.
Jeff Clyde G Corpuz et al. J Public Health (Oxf) 2023

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients.
Esra Adiyeke et al. Surgery 2023

Artificial Intelligence Supporting the Training of Communication Skills in the Education of Health Care Professions: Scoping Review.
Tjorven Stamer et al. J Med Internet Res 2023 25e43311

Predicting outcomes of acute kidney injury in critically ill patients using machine learning.
Fateme Nateghi Haredasht et al. Sci Rep 2023 13(1) 9864

Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.
Jacqueline A Murtha et al. J Surg Res 2023 2917-16

ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine.
Jin K Kim et al. J Pediatr Urol 2023

Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus.
Yu-Bai Chou et al. Curr Opin Ophthalmol 2023

Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing.
Kenya Kusunose et al. J Echocardiogr 2023

Evaluating Recommendations About Atrial Fibrillation for Patients and Clinicians Obtained From Chat-Based Artificial Intelligence Algorithms.
Zahra Azizi et al. Circ Arrhythm Electrophysiol 2023 e012015

Validation of ASE Guideline Recommended Parameters of Right Ventricular Dysfunction Using Artificial Intelligence Compared to Cardiac Magnetic Resonance Imaging.
Brian C Hsia et al. J Am Soc Echocardiogr 2023

The use of digital health in heart rhythm care.
Donald P Tchapmi et al. Expert Rev Cardiovasc Ther 2023

A New Era in Cardiometabolic Management: Unlocking the Potential of Artificial Intelligence for Improved Patient Outcomes.
Abdulqadir J Nashwan et al. Endocr Pract 2023

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Tareen Dawood et al. Med Image Anal 2023 88102861

A machine learning model to assess potential misdiagnosed dengue hospitalization.
Claudia Yang Santos et al. Heliyon 2023 9(6) e16634

Artificial Intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
Kajetan Grodecki et al. Br J Radiol 2023 20220180

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.
Parastoo Amiri et al. Digit Health 2023 920552076231170493

A Machine Learning-Based Analytic Pipeline Applied to Clinical and Serum IgG Immunoproteome Data To Predict Chlamydia trachomatis Genital Tract Ascension and Incident Infection in Women.
Chuwen Liu et al. Microbiol Spectr 2023 e0468922

Prediction Model of hospitalization time of COVID-19 patients based on Gradient Boosted Regression Trees.
Zhihao Zhang et al. Math Biosci Eng 2023 20(6) 10444-10458

Machine learning and disease prediction in obstetrics.
Zara Arain et al. Curr Res Physiol 2023 6100099

Improving outcomes of Assisted Reproductive Technologies using Artificial Intelligence for Sperm Selection.
Nicole Lustgarten Guahmich et al. Fertil Steril 2023

Prediction of cesarean delivery in class III obese nulliparous women: an externally validated model using machine learning.
Dr Massimo Lodi et al. J Gynecol Obstet Hum Reprod 2023 102624