Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.
Ivar R de Vries et al. Acta Obstet Gynecol Scand 2023

Machine learning‑based prediction of survival prognosis in esophageal squamous cell carcinoma.
Kaijiong Zhang et al. Sci Rep 2023 13(1) 13532

The value of deep neural networks in the pathological classification of thyroid tumors.
Chengwen Deng et al. Diagn Pathol 2023 18(1) 95

Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.
Qingqing Liu et al. Cancer Med 2023

A deep learning model for accurately predicting cancer-specific survival in patients with primary bone sarcoma of the extremity: a population-based study.
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Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study.
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Don't Fear the Artificial Intelligence: A Systematic Review of Machine Learning for Prostate Cancer Detection in Pathology.
Aaryn Frewing et al. Arch Pathol Lab Med 2023

Application of artificial intelligence in endoscopic image analysis for the diagnosis of a gastric cancer pathogen-Helicobacter pylori infection.
Chih-Hsueh Lin et al. Sci Rep 2023 13(1) 13380

Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.
Liming Hu et al. medRxiv 2023

The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use.
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Epilepsy classification using artificial intelligence: a web-based application.
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Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review.
Robin J Borchert et al. Alzheimers Dement 2023

Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods.
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Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
Tony Lin-Wei Chen et al. Arch Orthop Trauma Surg 2023

Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.
Liubov Arbeeva et al. Curr Rheumatol Rep 2023

Ethical Considerations of Using ChatGPT in Health Care.
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How to make sense of the ethical issues raised by artificial intelligence in medicine.
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Multidisciplinary considerations of fairness in medical AI: A scoping review.
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Advancing AI in Healthcare: A Comprehensive Review of Best Practices.
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Medical applications of generative adversarial network: a visualization analysis.
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Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges.
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Prediction of effective sociodemographic variables in modeling health literacy: A machine learning approach.
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Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults.
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Transforming Dental Caries Diagnosis Through Artificial Intelligence-Based Techniques.
Sukumaran Anil et al. Cureus 2023 15(7) e41694

What Is Machine Learning, Artificial Neural Networks and Deep Learning?-Examples of Practical Applications in Medicine.
Jakub Kufel et al. Diagnostics (Basel) 2023 13(15)

Smartphone Eye Examination: Artificial Intelligence and Telemedicine.
Manuel Augusto Pereira Vilela et al. Telemed J E Health 2023

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach.
Md Sabbir Ahmed et al. JMIR Form Res 2023 7e28848

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records.
Hikaru Bolt et al. BMC Nephrol 2023 24(1) 234

Machine learning models in predicting health care costs in patients with a recent acute coronary syndrome: A prospective pilot study.
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A smartphone-based application for cough counting in patients with acute asthma exacerbation.
Ji-Su Shim et al. J Thorac Dis 2023 15(7) 4053-4065

Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence.
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Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction.
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Improvement of a prediction model for heart failure survival through explainable artificial intelligence.
Pedro A Moreno-Sánchez et al. Front Cardiovasc Med 2023 101219586

Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects.
Angela-Tafadzwa Shumba et al. Sensors (Basel) 2023 23(15)

Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)

Predicting sepsis using deep learning across international sites: a retrospective development and validation study.
Michael Moor et al. EClinicalMedicine 2023 62102124

Deep Learning Classification of Tuberculosis Chest X-rays.
Kartik K Goswami et al. Cureus 2023 15(7) e41583

Prediction of gestational diabetes mellitus in Asian women using machine learning algorithms.
Byung Soo Kang et al. Sci Rep 2023 13(1) 13356