Symptom and performance validity in samples of adults at clinical evaluation of ADHD: a replication study using machine learning algorithms.
Hirsch Oliver et al. Journal of clinical and experimental neuropsychology 2022 1-14

Automated prediction of extubation success in extremely preterm infants: the APEX multicenter study.
Kanbar Lara J et al. Pediatric research 2022

Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study.
Kohli Manu et al. Brain informatics 2022 9(1) 16

Review on Facial-Recognition-Based Applications in Disease Diagnosis.
Qiang Jiaqi et al. Bioengineering (Basel, Switzerland) 2022 9(7)

Artificial intelligence-based clinical decision support in pediatrics.
Ramgopal Sriram et al. Pediatric research 2022

Accurate Identification of ADHD among Adults Using Real-Time Activity Data.
Kaur Amandeep et al. Brain sciences 2022 12(7)

Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia.
Chilyabanyama Obvious Nchimunya et al. Children (Basel, Switzerland) 2022 9(7)

Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.
Hayashida Tetsu et al. Cancer science 2022

Regional 18F-fluoromisonidazole PET images generated from multiple advanced MR images using neural networks in glioblastoma.
Qin Jianhua et al. Medicine 2022 101(30) e29572

Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine-learning technique.
Huang Ming Jun et al. Cancer medicine 2022

Machine Learning for Computed Tomography Radiomics: Prediction of Tumor-Infiltrating Lymphocytes in Patients With Pancreatic Ductal Adenocarcinoma.
Bian Yun et al. Pancreas 2022

Cancer Risk Prediction Paradigm Shift: Using Artificial Intelligence to Improve Performance and Health Equity.
Lee Christoph I et al. Journal of the National Cancer Institute 2022

Deep Learning-Based Recognition of Different Thyroid Cancer Categories Using Whole Frozen-Slide Images.
Zhu Xinyi et al. Frontiers in bioengineering and biotechnology 2022 10857377

Using machine learning for mortality prediction and risk stratification in atezolizumab-treated cancer patients: Integrative analysis of eight clinical trials.
Wu Yougen et al. Cancer medicine 2022

Multi-lesion radiomics of PET/CT for non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma.
Zhao Meixin et al. European radiology 2022

Fractional Flow Reserve Cardio-Oncology Effects on Inpatient Mortality, Length of Stay, and Cost Based on Malignancy Type: Machine Learning Supported Nationally Representative Case-Control Study of 30 Million Hospitalizations.
Chauhan Siddharth et al. Medicina (Kaunas, Lithuania) 2022 58(7)

Interpretable classifiers for prediction of disability trajectories using a nationwide longitudinal database.
Wu Yafei et al. BMC geriatrics 2022 22(1) 627

A SYSTEMATIC REVIEW OF DEEP LEARNING APPLICATIONS FOR OPTICAL COHERENCE TOMOGRAPHY IN AGE-RELATED MACULAR DEGENERATION.
Paul Samantha K et al. Retina (Philadelphia, Pa.) 2022 42(8) 1417-1424

External Validation of the eRADAR Risk Score for Detecting Undiagnosed Dementia in Two Real-World Healthcare Systems.
Coley R Yates et al. Journal of general internal medicine 2022

Machine learning-based predictive modeling of depression in hypertensive populations.
Lee Chiyoung et al. PloS one 2022 17(7) e0272330

Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.
Zhang Guihua et al. BMJ open 2022 12(7) e060155

Impact of a Clinical Text-Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation.
Kawazoe Yoshimasa et al. JMIR medical informatics 2022 10(7) e37913

A Reproducible Deep-Learning-Based Computer-Aided Diagnosis Tool for Frontotemporal Dementia Using MONAI and Clinica Frameworks.
Termine Andrea et al. Life (Basel, Switzerland) 2022 12(7)

Predicting the 2-Year Risk of Progression from Prediabetes to Diabetes Using Machine Learning among Chinese Elderly Adults.
Liu Qing et al. Journal of personalized medicine 2022 12(7)

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor.
Ren Shan-Shan et al. Nutrients 2022 14(15)

Development and Validation of an Insulin Resistance Model for a Population with Chronic Kidney Disease Using a Machine Learning Approach.
Lee Chia-Lin et al. Nutrients 2022 14(14)

Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models.
Khan Nergis C et al. Diagnostics (Basel, Switzerland) 2022 12(7)

Advance Planning for Technology Use in Dementia Care: Development, Design, and Feasibility of a Novel Self-administered Decision-Making Tool.
Berridge Clara et al. JMIR aging 2022 5(3) e39335

Hard Voting Ensemble Approach for the Detection of Type 2 Diabetes in Mexican Population with Non-Glucose Related Features.
Morgan-Benita Jorge A et al. Healthcare (Basel, Switzerland) 2022 10(8)

Ethical Implications of e-Health Applications in Early Preventive Healthcare.
Stake Mandy et al. Frontiers in genetics 2022 13902631

Artificial intelligence in healthcare: a primer for medical education in radiomics.
Waldman Carly E et al. Personalized medicine 2022

A Personalized Management Approach of OHSS: Development of a Multiphase Prediction Model and Smartphone-Based App.
Cao Mingzhu et al. Frontiers in endocrinology 2022 13911225

Evaluation and Comparison of Smartphone Application Tracing, Web Based Artificial Intelligence Tracing and Conventional Hand Tracing Methods.
Kilinç Delal Dara et al. Journal of stomatology, oral and maxillofacial surgery 2022

Predicting malnutrition from longitudinal patient trajectories with deep learning.
Jin Boyang Tom et al. PloS one 2022 17(7) e0271487

Disentangling the impact of childhood abuse and neglect on depressive affect in adulthood: A machine learning approach in a general population sample.
Betz Linda T et al. Journal of affective disorders 2022

Application of deep machine learning for the radiographic diagnosis of periodontitis.
Chang Jennifer et al. Clinical oral investigations 2022

Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case-control study.
Zhao Quchuan et al. BMC gastroenterology 2022 22(1) 352

Multi-Task and Few-Shot Learning-Based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases.
Lee Kyungsu et al. IEEE journal of biomedical and health informatics 2022 PP

Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers.
Alyami Jaber et al. Microscopy research and technique 2022

Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities.
Cui Yuxia et al. Toxics 2022 10(7)

Evaluation of Machine Learning Algorithms and Explainability Techniques to Detect Hearing Loss From a Speech-in-Noise Screening Test.
Lenatti Marta et al. American journal of audiology 2022 1-19

A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care.
Bartels Richard et al. Frontiers in digital health 2022 4942588

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare.
Manickam Pandiaraj et al. Biosensors 2022 12(8)

Digital Health and Big Data Analytics: Implications of Real-World Evidence for Clinicians and Policymakers.
Magalhães Teresa et al. International journal of environmental research and public health 2022 19(14)

Towards the Use of Big Data in Healthcare: A Literature Review.
Dicuonzo Grazia et al. Healthcare (Basel, Switzerland) 2022 10(7)

Identification of robust deep neural network models of longitudinal clinical measurements.
Javidi Hamed et al. NPJ digital medicine 2022 5(1) 106

Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study.
Yoo Junsang et al. Journal of medical Internet research 2022 24(7) e37928

IoT Adoption and Application for Smart Healthcare: A Systematic Review.
Al-Rawashdeh Manal et al. Sensors (Basel, Switzerland) 2022 22(14)

Predicting coronary artery calcified plaques using perivascular fat CT radiomics features and clinical risk factors.
Hu Guo-Qing et al. BMC medical imaging 2022 22(1) 134

An evolutionary machine learning algorithm for cardiovascular disease risk prediction.
Ordikhani Mohammad et al. PloS one 2022 17(7) e0271723

A framework of deep learning networks provides expert-level accuracy for the detection and prognostication of pulmonary arterial hypertension.
Diller Gerhard Paul et al. European heart journal. Cardiovascular Imaging 2022

Development and validation of a machine learning-based model for postoperative ischemic stroke in middle-aged and elderly patients with hip or knee arthroplasty.
Dai Danfeng et al. Medicine 2022 101(30) e29542

Perspectives on Sex- and Gender-Specific Prediction of New-Onset Atrial Fibrillation by Leveraging Big Data.
Geurts Sven et al. Frontiers in cardiovascular medicine 2022 9886469

Machine Learning Methods for Hypercholesterolemia Long-Term Risk Prediction.
Dritsas Elias et al. Sensors (Basel, Switzerland) 2022 22(14)

Real-world Antimicrobial Stewardship Experience in a Large Academic Medical Center: Using Statistical and Machine Learning Approaches to Identify Intervention "Hotspots" in an Antibiotic Audit and Feedback Program.
Goodman Katherine E et al. Open forum infectious diseases 2022 9(7) ofac289

mHealth-community health worker telemedicine intervention for surgical site infection diagnosis: a prospective study among women delivering via caesarean section in rural Rwanda.
Nkurunziza Theoneste et al. BMJ global health 2022 7(7)

Prediction of Influenza Complications: Development and Validation of a Machine Learning Prediction Model to Improve and Expand the Identification of Vaccine-Hesitant Patients at Risk of Severe Influenza Complications.
Wolk Donna M et al. Journal of clinical medicine 2022 11(15)

Helicobacter pylori (H. pylori) risk factor analysis and prevalence prediction: a machine learning-based approach.
Tran Van et al. BMC infectious diseases 2022 22(1) 655

Predicting Incidence of Hepatitis E Using Machine Learning in Jiangsu Province, China.
Cheng Xiaoqing et al. Epidemiology and infection 2022 1-11