Predicting Childhood Obesity Based on Single and Multiple Well-Child Visit Data Using Machine Learning Classifiers.
Mondal Pritom Kumar et al. Sensors (Basel, Switzerland) 2023 23(2)

Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity Score.
Eilts Sonja K et al. JAMA network open 2023 6(1) e2251512

Evaluation of Preoperative Microvascular Invasion in Hepatocellular Carcinoma Through Multidimensional Parameter Combination Modeling Based on Gd-EOB-DTPA MRI.
Zhang Han-Dan et al. Journal of clinical and translational hepatology 2023 11(2) 350-359

Machine learning approach for prediction of pT3a upstaging and outcomes of localized RCC (UroCCR-15).
Boulenger de Hauteclocque A et al. BJU international 2023

Overview of Artificial Intelligence in Breast Cancer Medical Imaging.
Zheng Dan et al. Journal of clinical medicine 2023 12(2)

Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial.
Chao Heng-Sheng et al. Biomedicines 2023 11(1)

Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index.
Lindgren Belal Sarah et al. European journal of nuclear medicine and molecular imaging 2023

Clinical prototype implementation enabling an improved day-to-day mammography compression.
Hertel Madeleine et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2023 106102524

Role of artificial intelligence in diagnosing Barrett's esophagus related neoplasia.
Meinikheim Michael et al. Clinical endoscopy 2023

The Use of Artificial Intelligence (AI) in the Radiology Field: What Is the State of Doctor-Patient Communication in Cancer Diagnosis?
Derevianko Alexandra et al. Cancers 2023 15(2)

The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the "Real World"?
Sollini Martina et al. Cancers 2023 15(2)

Deep Learning for Detecting Brain Metastases on MRI: A Systematic Review and Meta-Analysis.
Ozkara Burak B et al. Cancers 2023 15(2)

Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer.
Wang Qiang et al. La Radiologia medica 2023

HER2 classification in breast cancer cells: A new explainable machine learning application for immunohistochemistry.
Cordova Claudio et al. Oncology letters 2023 25(2) 44

Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.
Fukuda Toshinori et al. Ultrasound in medicine & biology 2023

Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer.
Park Jung In et al. BMJ health & care informatics 2023 30(1)

Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach.
Ferrè Laura et al. Journal of personalized medicine 2023 13(1)

Artificial Intelligence in Hepatology- Ready for the Primetime.
Kalapala Rakesh et al. Journal of clinical and experimental hepatology 2023 13(1) 149-161

Geometric Deep Learning to Identify the Critical 3D Structural Features of the Optic Nerve Head for Glaucoma Diagnosis.
Braeu Fabian A et al. American journal of ophthalmology 2023

Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury.
Jiang Meng et al. Renal failure 2023 45(1) 2151468

Predicting mortality and visualizing health care spending by predicted mortality in Danes over age 65.
Hansen Anne Vinkel et al. Scientific reports 2023 13(1) 1203

Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study.
Muñoz Esquivel Karla et al. JMIR aging 2023 6e36807

The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
Ye Zixiang et al. European journal of medical research 2023 28(1) 33

Application of intelligent X-ray image analysis in risk assessment of osteoporotic fracture of femoral neck in the elderly.
Du Juan et al. Mathematical biosciences and engineering : MBE 2023 20(1) 879-893

Artificial Intelligence in Reproductive Medicine - An Ethical Perspective.
Rolfes Vasilija et al. Geburtshilfe und Frauenheilkunde 2023 83(1) 106-115

Approval and Certification of Ophthalmic AI Devices in the European Union.
Grzybowski Andrzej et al. Ophthalmology and therapy 2023

The effect of machine learning tools for evidence synthesis on resource use and time-to-completion: protocol for a retrospective pilot study.
Muller Ashley Elizabeth et al. Systematic reviews 2023 12(1) 7

EHAPI: A comprehensive and improved definition for hospital-acquired pressure injury classification based on electronic health records.
Sotoodeh Mani et al. JMIR medical informatics 2023

The selfBACK artificial intelligence-based smartphone app can improve low back pain outcome even in patients with high levels of depression or stress.
Rughani G et al. European journal of pain (London, England) 2023

Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen.
Lee Sangil et al. Journal of personalized medicine 2023 13(1)

Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.
Arowosegbe Abayomi et al. International journal of environmental research and public health 2023 20(2)

Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action.
Quiroga Gutierrez Ana Cecilia et al. International journal of environmental research and public health 2023 20(2)

AI-Assisted Assessment of Wound Tissue with Automatic Color and Measurement Calibration on Images Taken with a Smartphone.
Chairat Sawrawit et al. Healthcare (Basel, Switzerland) 2023 11(2)

Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends.
Kumar Kamlesh et al. Healthcare (Basel, Switzerland) 2023 11(2)

Machine learning in general practice: scoping review of administrative task support and automation.
Sørensen Natasha Lee et al. BMC primary care 2023 24(1) 14

Now is the time to fix the evidence generation system.
Califf Robert M et al. Clinical trials (London, England) 2023 17407745221147689

Scalable Causal Structure Learning: Scoping Review of Traditional and Deep Learning Algorithms and New Opportunities in Biomedicine.
Upadhyaya Pulakesh et al. JMIR medical informatics 2023 11e38266

Impact of industry 4.0 on healthcare systems of low- and middle- income countries: a systematic review.
Mwanza Joseph et al. Health and technology 2023 1-18

Survey of Explainable AI Techniques in Healthcare.
Chaddad Ahmad et al. Sensors (Basel, Switzerland) 2023 23(2)

Can a Single Variable Predict Early Dropout From Digital Health Interventions? Comparison of Predictive Models From Two Large Randomized Trials.
Bricker Jonathan et al. Journal of medical Internet research 2023 25e43629

Prediction of Mortality Among Patients with Isolated Traumatic Brain Injury Using Machine Learning Models in Asian Countries: An International Multicenter Cohort Study.
Song Juhyun et al. Journal of neurotrauma 2023

A machine learning approach to determine the influence of specific health conditions on self-rated health across education groups.
Gumà-Lao Jordi et al. BMC public health 2023 23(1) 131

Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases.
Jacoba Cris Martin P et al. Seminars in ophthalmology 2023 1-9

Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts.
Wichmann Roberta Moreira et al. Scientific reports 2023 13(1) 1022

[Exploration and practice of artificial intelligence assisted primary vision health management].
Peng Y J et al. Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] 2023 57(1) 125-130

Beyond prediction: Off-target uses of artificial intelligence-based predictive analytics in a learning health system.
Keim-Malpass Jessica et al. Learning health systems 2023 7(1) e10323

Augmented Intelligence to Identify Patients With Advanced Heart Failure in an Integrated Health System.
Cheema Baljash et al. JACC advances 2023 1(4)

Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data.
Wang Xuchun et al. Computer methods and programs in biomedicine 2023 230107340

Deep Learning to Classify AL versus ATTR Cardiac Amyloidosis MR Images.
Germain Philippe et al. Biomedicines 2023 11(1)

Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population.
Orii Makoto et al. The international journal of cardiovascular imaging 2023

Machine learning models of 6-lead ECGs for the interpretation of left ventricular hypertrophy (LVH).
Dwivedi Trisha et al. Journal of electrocardiology 2023 7762-67

Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review.
Moshawrab Mohammad et al. Sensors (Basel, Switzerland) 2023 23(2)

Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation.
Han Na et al. Brain sciences 2023 13(1)

Next Frontier for Artificial Intelligence in Imaging: Moving Beyond Risk Prediction Toward Effective Implementation.
Patel Krishna K et al. JACC. Cardiovascular imaging 2023

An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment.
Roseiro M et al. Computer methods and programs in biomedicine 2023 230107347

Predicting readmission to the cardiovascular intensive care unit using recurrent neural networks.
Kessler Steven et al. Digital health 2023 920552076221149529

Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis.
Åkesson Julius et al. Scientific reports 2023 13(1) 1216

Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring.
Chiu I-Min et al. Biosensors 2023 13(1)

Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.
Tseng Li-Ming et al. IEEE journal of translational engineering in health and medicine 2023 1170-79

Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence.
Ding Zhongao et al. Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology 2023

Development and multi-center validation of machine learning model for early detection of fungal keratitis.
Wei Zhenyu et al. EBioMedicine 2023 88104438

Machine Learning-Based Detection of Dengue from Blood Smear Images Utilizing Platelet and Lymphocyte Characteristics.
Mayrose Hilda et al. Diagnostics (Basel, Switzerland) 2023 13(2)

Deep learning classification of active tuberculosis lung zones wise manifestations using chest X-rays: a multi label approach.
Devasia James et al. Scientific reports 2023 13(1) 887

Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators.
Wu Wenzhu et al. Computer methods and programs in biomedicine 2023 230107328

FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices.
Alam Mahbub Ul et al. Sensors (Basel, Switzerland) 2023 23(2)

Impact of race on heart rate characteristics monitoring in very low birth weight infants.
Sullivan Brynne A et al. Pediatric research 2023

Leveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference.
Sanchez-Pinto L Nelson et al. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2023 24(Supplement 1 2S) S1-S11

Clinical Prediction Tools for Identifying Antimicrobial Resistant Organism (ARO) Carriage on Hospital Admissions: A Systematic Review.
Jeon David et al. The Journal of hospital infection 2023

Development and Evaluation of Machine Learning Models and Nomogram for the Prediction of Severe Acute Pancreatitis.
Luo Zhu et al. Journal of gastroenterology and hepatology 2023