Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables.
Ayako Ishikita et al. Circ Cardiovasc Imaging 2023 16(6) e015205

Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence: a clinical study in the UK.
Tianhua Chen et al. Front Psychiatry 2023 141164433

Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches.
Michael O Killian et al. JMIR Cardio 2023 7e45352

Development of a Machine Learning Model to Predict Recurrence of Oral Tongue Squamous Cell Carcinoma.
Yasaman Fatapour et al. Cancers (Basel) 2023 15(10)

Novel models by machine learning to predict prognosis of breast cancer brain metastases.
Chaofan Li et al. J Transl Med 2023 21(1) 404

Automatic retinoblastoma screening and surveillance using deep learning.
Ruiheng Zhang et al. Br J Cancer 2023

Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: a Multi-Center Retrospective Study.
Palak Patel et al. Mod Pathol 2023 100241

Performances and variability of CT radiomics for the prediction of microvascular invasion and survival in patients with HCC: a matter of chance or standardisation?
Roberto Cannella et al. Eur Radiol 2023

Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study.
Ahmet Karagoz et al. Insights Imaging 2023 14(1) 110

Computer Vision Identifies Recurrent and Non-Recurrent Ductal Carcinoma in situ Lesions with Special Emphasis on African American Women.
Yunus Saatchi et al. Am J Pathol 2023

Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study.
Andrea G Rockall et al. Invest Radiol 2023

Ensuring fair, safe, and interpretable artificial intelligence-based prediction tools in a real-world oncological setting.
Renee George et al. Commun Med (Lond) 2023 3(1) 88

Assessing the decision quality of artificial intelligence and oncologists of different experience in different regions in breast cancer treatment.
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Deep survival modeling of longitudinal retinal OCT volumes for predicting the onset of atrophy in patients with intermediate AMD.
Antoine Rivail et al. Biomed Opt Express 2023 14(6) 2449-2464

Contactless evaluation of rigidity in Parkinson's disease by machine vision and machine learning.
Xue Zhu et al. Chin Med J (Engl) 2023

Standard based personalized healthcare delivery for kidney illness using deep learning.
Shelly Sachdeva et al. Physiol Meas 2023

Practical Utilization of Prediction Equations in Chronic Kidney Disease.
Navdeep Tangri et al. Blood Purif 2023 1-7

Application of Artificial Intelligence in Geriatric Care: Bibliometric Analysis.
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Predictive models of multiple sclerosis-related cognitive performance using routine clinical practice predictors.
Andrés Labiano-Fontcuberta et al. Mult Scler Relat Disord 2023 76104849

A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
Chun Lin et al. Front Surg 2023 101160085

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.
Rachel Dlugatch et al. BMC Med Ethics 2023 24(1) 42

Artificial Intelligence Bias in Health Care: Web-Based Survey.
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Experimental drugs in clinical trials for COPD: Artificial Intelligence via Machine Learning approach to predict the successful advance from early-stage development to approval.
Luigino Calzetta et al. Expert Opin Investig Drugs 2023

The Urgent Need for Healthcare Workforce Upskilling and Ethical Considerations in the Era of AI-Assisted Medicine.
Divya Rao et al. Indian J Otolaryngol Head Neck Surg 2023 1-2

Identifying Inpatient Mortality in MarketScan Claims Data Using Machine Learning.
Fenglong Xie et al. Pharmacoepidemiol Drug Saf 2023

Digital Education for the Deployment of Artificial Intelligence in Health Care.
Fernando Korn Malerbi et al. J Med Internet Res 2023 25e43333

Optimizing healthcare system by amalgamation of text processing and deep learning: a systematic review.
Somiya Rani et al. Multimed Tools Appl 2023 1-25

User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications.
Bradley A Fritz et al. Anesth Analg 2023

Immersive training of clinical decision making with AI driven virtual patients - a new VR platform called medical tr.AI.ning.
Marvin Mergen et al. GMS J Med Educ 2023 40(2) Doc18

Predicting Disengagement to Better Support Outcomes in a Web-Based Weight Loss Program Using Machine Learning Models: Cross-Sectional Study.
Aida Brankovic et al. J Med Internet Res 2023 25e43633

The usefulness of machine learning analysis for predicting the presence of depression with the results of the Korea National Health and Nutrition Examination Survey.
Sang Won Kim et al. Ann Palliat Med 2023

Editorial: Artificial intelligence: applications in clinical medicine.
Joshua Levy et al. Front Med Technol 2023 51206969

Knowledge and perception of primary care healthcare professionals on the use of artificial intelligence as a healthcare tool.
Queralt Miró Catalina et al. Digit Health 2023 920552076231180511

A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.
Engin Melekoglu et al. PeerJ Comput Sci 2023 8e1188

Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging.
Yan Wu et al. Med Biol Eng Comput 2023

Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit.
Eric Yamga et al. J Am Heart Assoc 2023 e029232

Development of an AI based automated analysis of pediatric Apple Watch iECGs.
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Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset.
Jiewei Lai et al. Nat Commun 2023 14(1) 3741

Artificial intelligence-enabled tools in cardiovascular medicine: A survey of current use, perceptions, and challenges.
Alexander Schepart et al. Cardiovasc Digit Health J 2023 4(3) 101-110

Diagnostic accuracy of the PMcardio smartphone application for artificial intelligence-based interpretation of electrocardiograms in primary care (AMSTELHEART-1).
Jelle C L Himmelreich et al. Cardiovasc Digit Health J 2023 4(3) 80-90

Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU.
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A new model for predicting the occurrence of polycystic ovary syndrome: Based on data of tongue and pulse.
Weiying Wang et al. Digit Health 2023 920552076231160323

Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy.
Gabriel Cubillos et al. BMC Pregnancy Childbirth 2023 23(1) 469