Prediction of extubation failure among low birthweight neonates using machine learning.
Natarajan Annamalai et al. Journal of perinatology : official journal of the California Perinatal Association 2023

Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors.
Afrash Mohammad Reza et al. BMC gastroenterology 2023 23(1) 6

Artificial intelligence in clinical decision support systems for oncology.
Wang Lu et al. International journal of medical sciences 2023 20(1) 79-86

Classification of solid pulmonary nodules using a machine-learning nomogram based on F-FDG PET/CT radiomics integrated clinicobiological features.
Ren Caiyue et al. Annals of translational medicine 2023 10(23) 1265

Application of EfficientNet-B0 and GRU-based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions.
Chen Xiaoyue et al. Cancer medicine 2023

BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data.
Virdee Pradeep S et al. Diagnostic and prognostic research 2023 7(1) 1

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care.
Padmanabhan Regina et al. International journal of environmental research and public health 2023 20(1)

Adherence to the CDK 4/6 Inhibitor Palbociclib and Omission of Dose Management Supported by Pharmacometric Modelling as Part of the OpTAT Study.
Bandiera Carole et al. Cancers 2023 15(1)

Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction.
Nasser Maged et al. Diagnostics (Basel, Switzerland) 2023 13(1)

Towards artificial intelligence-based automated treatment planning in clinical practice: A prospective study of the first clinical experiences in high-dose-rate prostate brachytherapy.
Barten Danique L J et al. Brachytherapy 2023

Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.
Mikhael Peter G et al. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2023 JCO2201345

Artificial intelligence based on serum biomarkers predicts the efficacy of lenvatinib for unresectable hepatocellular carcinoma.
Hsu Po-Yao et al. American journal of cancer research 2023 12(12) 5576-5588

Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning.
Pertzborn David et al. Cancers 2023 15(1)

Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers.
Tabari Azadeh et al. Cancers 2023 15(1)

Long-term Effect of Machine Learning-Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer: A Randomized Clinical Trial.
Manz Christopher R et al. JAMA oncology 2023

The Precision in Psychiatry (PIP) study: Testing an internet-based methodology for accelerating research in treatment prediction and personalisation.
Lee Chi Tak et al. BMC psychiatry 2023 23(1) 25

Using deep learning and explainable artificial intelligence to assess the severity of gastroesophageal reflux disease according to the Los Angeles Classification System.
Ge Zhenyang et al. Scandinavian journal of gastroenterology 2023 1-9

Machine learning predicts cancer-associated venous thromboembolism using clinically available variables in gastric cancer patients.
Xu Qianjie et al. Heliyon 2023 9(1) e12681

Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.
Jauk Stefanie et al. Dysphagia 2023 1-9

Lessons on Drug Development: A Literature Review of Challenges Faced in Nonalcoholic Fatty Liver Disease (NAFLD) Clinical Trials.
Chen Joel Yeh Siang et al. International journal of molecular sciences 2023 24(1)

Machine Learning Model in Predicting Sarcopenia in Crohn's Disease Based on Simple Clinical and Anthropometric Measures.
Tseng Yujen et al. International journal of environmental research and public health 2023 20(1)

Drug Recommendation from Diagnosis Codes: Classification vs. Collaborative Filtering Approaches.
Sae-Ang Apichat et al. International journal of environmental research and public health 2023 20(1)

CAD-ALZ: A Blockwise Fine-Tuning Strategy on Convolutional Model and Random Forest Classifier for Recognition of Multistage Alzheimer's Disease.
Abbas Qaisar et al. Diagnostics (Basel, Switzerland) 2023 13(1)

Evaluating the potential of artificial intelligence in ulcerative colitis.
Sinonquel Pieter et al. Expert review of gastroenterology & hepatology 2023

An AI-based patient-specific clinical decision support system for OA patients choosing surgery or not: study protocol for a single-centre, parallel-group, non-inferiority randomised controlled trial.
Kastrup Nanna et al. Trials 2023 24(1) 24

Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis.
Mansoori Amin et al. Scientific reports 2023 13(1) 663

Evaluation of Multiple Machine Learning Models for Predicting Number of Anti-VEGF Injections in the Comparison of AMD Treatment Trials (CATT).
Chandra Rajat S et al. Translational vision science & technology 2023 12(1) 18

Objective Hand Eczema Severity Assessment with Automated Lesion Anatomical Stratification.
Amruthalingam Ludovic et al. Experimental dermatology 2023

Estimation of a Machine Learning-Based Decision Rule to Reduce Hypoglycemia Among Older Adults With Type 1 Diabetes: A Post Hoc Analysis of Continuous Glucose Monitoring in the WISDM Study.
Kahkoska Anna R et al. Journal of diabetes science and technology 2023 19322968221149040

Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor.
Borzì Luigi et al. Artificial intelligence in medicine 2023 135102459

Patient-independent seizure detection based on long-term iEEG and a novel lightweight CNN.
Si Xiaopeng et al. Journal of neural engineering 2023

Development of medical device software for the screening and assessment of depression severity using data collected from a wristband-type wearable device: SWIFT study protocol.
Kishimoto Taishiro et al. Frontiers in psychiatry 2023 131025517

Measuring depression severity based on facial expression and body movement using deep convolutional neural network.
Liu Dongdong et al. Frontiers in psychiatry 2023 131017064

Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare.
Kleinberg Giona et al. Journal of biomed research 2023 3(1) 42-47

Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review.
Zhelev Zhivko et al. Journal of medical screening 2023 9691413221144382

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
Alam Minhaj et al. Journal of clinical medicine 2023 12(1)

Application of Deep Learning to Retinal-Image-Based Oculomics for Evaluation of Systemic Health: A Review.
Wu Jo-Hsuan et al. Journal of clinical medicine 2023 12(1)

Challenges for Artificial Intelligence in Recognizing Mental Disorders.
Yan Wen-Jing et al. Diagnostics (Basel, Switzerland) 2023 13(1)

Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial.
Faro Jamie M et al. JAMA network open 2023 6(1) e2250665

Machine Learning Approach to Drug Treatment Strategy for Diabetes Care.
Fujihara Kazuya et al. Diabetes & metabolism journal 2023

An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur.
Dweekat Odai Y et al. International journal of environmental research and public health 2023 20(1)

Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review.
Dweekat Odai Y et al. International journal of environmental research and public health 2023 20(1)

Suicide Possibility Scale Detection via Sina Weibo Analytics: Preliminary Results.
Gu Yun et al. International journal of environmental research and public health 2023 20(1)

The World Health Organization (WHO) Integrated Care for Older People (ICOPE) Framework: A Narrative Review on Its Adoption Worldwide and Lessons Learnt.
Sum Grace et al. International journal of environmental research and public health 2023 20(1)

The Identification of Elderly People with High Fall Risk Using Machine Learning Algorithms.
Lyu Ziyang et al. Healthcare (Basel, Switzerland) 2023 11(1)

Artificial intelligence, human intelligence, and the future of public health.
Bhattacharya Sudip et al. AIMS public health 2023 9(4) 644-650

How We Got Here: The Legacy of Anti-Black Discrimination in Radiology.
Goldberg Julia E et al. Radiographics : a review publication of the Radiological Society of North America, Inc 2023 43(2) e220112

Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence.
Hogg Henry David Jeffry et al. Journal of medical Internet research 2023 25e39742

Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice.
Grote Thomas et al. The Journal of medicine and philosophy 2023

Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions.
Parimbelli Enea et al. Artificial intelligence in medicine 2023 135102471

Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital.
Berge G T et al. BMC medical informatics and decision making 2023 23(1) 5

Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning.
Afshin-Pour Babak et al. Intelligence-based medicine 2023 100087

Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
Kim Cherry et al. European radiology 2023

Knowledge, attitudes, and practices towards artificial intelligence among young pediatricians: A nationwide survey in France.
Perrier Emma et al. Frontiers in pediatrics 2023 101065957

Recommendations for robust and reproducible preclinical research in personalised medicine.
Fosse Vibeke et al. BMC medicine 2023 21(1) 14

A Hybrid System of Braden Scale and Machine Learning to Predict Hospital-Acquired Pressure Injuries (Bedsores): A Retrospective Observational Cohort Study.
Dweekat Odai Y et al. Diagnostics (Basel, Switzerland) 2023 13(1)

Can We Explain Machine Learning-based Prediction For Rupture Status Assessments of Intracranial Aneurysms?
Mu Nan et al. Biomedical physics & engineering express 2023

Mobile APP-assisted family physician program for improving blood pressure outcome in hypertensive patients.
Xing Fang et al. BMC primary care 2023 24(1) 8

Electrocardiogram-based artificial intelligence for the diagnosis of heart failure: a systematic review and meta-analysis.
Li Xin-Mu et al. Journal of geriatric cardiology : JGC 2023 19(12) 970-980

Automated multi-beat tissue Doppler echocardiography analysis using deep neural networks.
Lane Elisabeth S et al. Medical & biological engineering & computing 2023

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.
Amann Julia et al. PloS one 2023 18(1) e0279088

Deep learning for collateral evaluation in ischemic stroke with imbalanced data.
Aktar Mumu et al. International journal of computer assisted radiology and surgery 2023

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.
Gill Simrat K et al. European heart journal 2023

Advanced Hemodynamic Monitoring Allows Recognition of Early Response Patterns to Diuresis in Congestive Heart Failure Patients.
Dagan Maya et al. Journal of clinical medicine 2023 12(1)

Hospital Admission Decisions for Older Veterans with Community-onset Pneumonia: An Analysis of 118 U.S. Veterans Affairs Medical Centers.
Jones Barbara E et al. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine 2023

The role of machine learning in HIV risk prediction.
Fieggen Joshua et al. Frontiers in reproductive health 2023 41062387

Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach.
Rojas-García Mariano et al. BMC infectious diseases 2023 23(1) 18

Prognosis of COVID-19 patients using lab tests: A data mining approach.
Khounraz Fariba et al. Health science reports 2023 6(1) e1049

Machine learning models for predicting acute kidney injury in patients with sepsis associated ARDS.
Zhou Yang et al. Shock (Augusta, Ga.) 2023

Diagnostic Accuracy of the Artificial Intelligence Methods in Medical Imaging for Pulmonary Tuberculosis: A Systematic Review and Meta-Analysis.
Zhan Yuejuan et al. Journal of clinical medicine 2023 12(1)