Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques.
Similien Ndagijimana et al. Journal of preventive medicine and public health = Yebang Uihakhoe chi 2023 56(1) 41-49

Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data.
In-Seok Song et al. International journal of environmental research and public health 2023 20(3)

A big data approach to evaluate receipt of optimal care in childhood cerebral palsy.
Alexis Mitelpunkt et al. Disability and rehabilitation 2023 1-8

Quality of radiomics for predicting microvascular invasion in hepatocellular carcinoma: a systematic review.
Enyu Yuan et al. European radiology 2023

AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial.
Ju Gang Nam et al. Radiology 2023 221894

Benefits and Challenges in Implementation of Artificial Intelligence in Colonoscopy: World Endoscopy Organization Position Statement.
Yuichi Mori et al. Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society 2023

Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM).
Abhishta Bhandari et al. Neuroradiology 2023

Statistical biopsy: An emerging screening approach for early detection of cancers.
Gregory R Hart et al. Frontiers in artificial intelligence 2023 51059093

Artificial intelligence breast ultrasound and handheld ultrasound in the BI-RADS categorization of breast lesions: A pilot head to head comparison study in screening program.
Xiaoxi Huang et al. Frontiers in public health 2023 101098639

Predictive Model of Liver Toxicity to Aid the Personalized Selection of Proton vs Photon Therapy in Hepatocellular Carcinoma.
Ibrahim Chamseddine et al. International journal of radiation oncology, biology, physics 2023

Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques.
Khaled ELKarazle et al. Sensors (Basel, Switzerland) 2023 23(3)

Survival Outcome of Gastric Signet Ring Cell Carcinoma Based on the Optimal Number of Examined Lymph Nodes: A Nomogram- and Machine-Learning-Based Approach.
Yongkang Lai et al. Journal of clinical medicine 2023 12(3)

Radiomics and Artificial Intelligence Can Predict Malignancy of Solitary Pulmonary Nodules in the Elderly.
Stefano Elia et al. Diagnostics (Basel, Switzerland) 2023 13(3)

Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records.
Nguyen Thi Hoang Trang et al. Diagnostics (Basel, Switzerland) 2023 13(3)

A machine learning tool for identifying non-metastatic colorectal cancer in primary care.
Elinor Nemlander et al. European journal of cancer (Oxford, England : 1990) 2023 182100-106

Multimodal predictions of treatment outcome in major depression: A comparison of data-driven predictors with importance ratings by clinicians.
Nicolas Rost et al. Journal of affective disorders 2023

Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes.
Xiaomin Fu et al. Frontiers in endocrinology 2023 131061507

Experience of waiting for seizure freedom and perception of machine learning technologies to support treatment decision: A qualitative study in adults with recent onset epilepsy.
Sandra Reeder et al. Epilepsy research 2023 190107096

CNN-based evaluation of bone density improves diagnostic performance to detect osteopenia and osteoporosis in patients with non-contrast chest CT examinations.
Hanns-Christian Breit et al. European journal of radiology 2023 161110728

Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review.
Ricardo A Torres-Guzman et al. Sensors (Basel, Switzerland) 2023 23(3)

Moderate-High Disease Activity in Patients with Recent-Onset Psoriatic Arthritis-Multivariable Prediction Model Based on Machine Learning.
Rubén Queiro et al. Journal of clinical medicine 2023 12(3)

Predicting neurosurgical referral outcomes in patients with chronic subdural hematomas using machine learning algorithms - A multi-center feasibility study.
Sayan Biswas et al. Surgical neurology international 2023 1422

Cardiothoracic ratio values and trajectories are associated with risk of requiring dialysis and mortality in chronic kidney disease.
Che-Yi Chou et al. Communications medicine 2023 3(1) 19

Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or above.
Jacobien H F Oosterhoff et al. European journal of trauma and emergency surgery : official publication of the European Trauma Society 2023

Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review.
Iman Kassam et al. Journal of medical Internet research 2023 25e42507

Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review.
Andrea C Tricco et al. BMJ open 2023 13(2) e065845

Charting a Course for Smartphones and Wearables to Transform Population Health Research.
William G Dixon et al. Journal of medical Internet research 2023 25e42449

Development and internal validation of a diagnostic prediction model for psoriasis severity.
Mie Sylow Liljendahl et al. Diagnostic and prognostic research 2023 7(1) 2

Artificial intelligence in radiology: trainees want more.
O-U Hashmi et al. Clinical radiology 2023

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review.
Oliver Higgins et al. International journal of mental health nursing 2023

EAACI Guidelines on environmental science in allergic diseases and asthma - leveraging artificial intelligence and machine learning to develop a causality model in exposomics.
Mohamed H Shamji et al. Allergy 2023

EEG Datasets for Seizure Detection and Prediction - A Review.
Sheng Wong et al. Epilepsia open 2023

Logistic regression technique is comparable to complex machine learning algorithms in predicting cognitive impairment related to post intensive care syndrome.
TingTing Wu et al. Scientific reports 2023 13(1) 2485

Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model.
Fredrik Hessulf et al. EBioMedicine 2023 89104464

Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data.
Hongxia Lu et al. Journal of psychiatric research 2023 16019-27

Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.
Tony Robinson et al. International journal of environmental research and public health 2023 20(3)

A Deep Learning Approach to Predict Chronological Age.
Husam Lahza et al. Healthcare (Basel, Switzerland) 2023 11(3)

Machine Learning-Based Mortality Prediction Model for Critically Ill Cancer Patients Admitted to the Intensive Care Unit (CanICU).
Ryoung-Eun Ko et al. Cancers 2023 15(3)

Framework and metrics for the clinical use and implementation of artificial intelligence algorithms into endoscopy practice: recommendations from the American Society for Gastrointestinal Endoscopy Artificial Intelligence Task Force.
Sravanthi Parasa et al. Gastrointestinal endoscopy 2023

Clinical Artificial Intelligence: Design Principles and Fallacies.
Matthew B A McDermott et al. Clinics in laboratory medicine 2023 43(1) 29-46

Electronic Health Record Optimization for Artificial Intelligence.
Anand S Dighe et al. Clinics in laboratory medicine 2023 43(1) 17-28

Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study.
Julian C Hong et al. BMJ health & care informatics 2023 30(1)

Evaluation of diagnosis diversity in artificial intelligence datasets: a scoping review.
Michael L Chen et al. The British journal of dermatology 2023 188(2) 292-294

Are physicians and medical students ready for artificial intelligence applications in healthcare?
Adhari AlZaabi et al. Digital health 2023 920552076231152167

Evaluation of the Diagnostic and Prognostic Accuracy of Artificial Intelligence in Endodontic Dentistry: A Comprehensive Review of Literature.
Mohmed Isaqali Karobari et al. Computational and mathematical methods in medicine 2023 20237049360

Machine Learning Prediction of Objective Hearing Loss With Demographics, Clinical Factors, and Subjective Hearing Status.
Tyler J Gathman et al. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery 2023

The role of artificial intelligence in the treatment of obstructive sleep apnea.
Hannah L Brennan et al. Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale 2023 52(1) 7

Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
Weijie Sun et al. NPJ digital medicine 2023 6(1) 21

The diagnostic performance of artificial intelligence algorithms for identifying M2 segment middle cerebral artery occlusions: A systematic review and meta-analysis.
Sherief Ghozy et al. Journal of neuroradiology = Journal de neuroradiologie 2023

Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies.
Maarten Z H Kolk et al. EBioMedicine 2023 89104462

Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran.
Yung-Chuan Huang et al. International journal of environmental research and public health 2023 20(3)

Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors' Functional Outcome upon Discharge Utilizing Explainable Machine Learning.
Aimilios Gkantzios et al. Diagnostics (Basel, Switzerland) 2023 13(3)

Research Progress of Respiratory Disease and Idiopathic Pulmonary Fibrosis Based on Artificial Intelligence.
Gerui Zhang et al. Diagnostics (Basel, Switzerland) 2023 13(3)

Prediction of short-term atrial fibrillation risk using primary care electronic health records.
Ramesh Nadarajah et al. Heart (British Cardiac Society) 2023

Evaluate prognostic accuracy of SOFA component score for mortality among adults with sepsis by machine learning method.
Xiaobin Pan et al. BMC infectious diseases 2023 23(1) 76

Long Short-term Memory-Based Prediction of the Spread of Influenza-Like Illness Leveraging Surveillance, Weather, and Twitter Data: Model Development and Validation.
Maria Athanasiou et al. Journal of medical Internet research 2023 25e42519

Identification of Active Pulmonary Tuberculosis Among Patients With Positive Interferon-Gamma Release Assay Results: Value of a Deep Learning-based Computer-aided Detection System in Different Scenarios of Implementation.
Jongsoo Park et al. Journal of thoracic imaging 2023

An IoT-based smart mosquito trap system embedded with real-time mosquito image processing by neural networks for mosquito surveillance.
Wei-Liang Liu et al. Frontiers in bioengineering and biotechnology 2023 111100968

Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study.
Shuhe Li et al. Journal of clinical medicine 2023 12(3)

Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity.
Valeriu Harabor et al. International journal of environmental research and public health 2023 20(3)

Rapid Identification of Infectious Pathogens at the Single-Cell Level via Combining Hyperspectral Microscopic Images and Deep Learning.
Chenglong Tao et al. Cells 2023 12(3)

Artificial Intelligence and Machine Learning Based Prediction of Viral Load and CD4 Status of People Living with HIV (PLWH) on Anti-Retroviral Treatment in Gedeo Zone Public Hospitals.
Binyam Tariku Seboka et al. International journal of general medicine 2023 16435-451

Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases.
Stefano Marletta et al. Pathology, research and practice 2023 243154362

A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems.
A Duval et al. Human reproduction (Oxford, England) 2023

An optimization for postpartum depression risk assessment and preventive intervention strategy based machine learning approaches.
Hao Liu et al. Journal of affective disorders 2023