An Automated Machine Learning Classifier for Early Childhood Caries.
Karhade Deepti S et al. Pediatric dentistry 2021 43(3) 191-197

Fully automated analysis combining [F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.
Paprottka K J et al. European journal of nuclear medicine and molecular imaging 2021

Colorectal polyp characterization with standard endoscopy: Will Artificial Intelligence succeed where human eyes failed?
Parsa Nasim et al. Best practice & research. Clinical gastroenterology 2021 52-53101736

Barrett esophagus: What to expect from Artificial Intelligence?
Ebigbo Alanna et al. Best practice & research. Clinical gastroenterology 2021 52-53101726

Impact of artificial intelligence on colorectal polyp detection.
Antonelli Giulio et al. Best practice & research. Clinical gastroenterology 2021 52-53101713

Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box.
de Souza Luis A et al. Computers in biology and medicine 2021 135104578

Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer.
Hsiao Yu-Jer et al. World journal of gastroenterology 2021 27(22) 2979-2993

An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Hiremath Amogh et al. The Lancet. Digital health 2021 3(7) e445-e454

Using big data to gauge effectiveness of breast cancer awareness month.
Gathers D et al. Preventive medicine 2021 106695

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning.
Luo Wei et al. Frontiers in artificial intelligence 2021 4627369

Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?
Schreuder Anton et al. Translational lung cancer research 2021 10(5) 2378-2388

World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews.
Son Youngseo et al. Psychological medicine 2021 1-9

Current and Future Projections of Amyotrophic Lateral Sclerosis in the United States Using Administrative Claims Data.
Miller Chris et al. Neuroepidemiology 2021 1-11

Telemedical Diabetic Retinopathy Screening in a Primary Care Setting: Quality of Retinal Photographs and Accuracy of Automated Image Analysis.
Wintergerst Maximilian W M et al. Ophthalmic epidemiology 2021 1-10

Cost-effectiveness of Morse Fall Scale assessment in fall prevention care in hospitalized patients.
Huang Xiaofang et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2021 46(5) 529-535

Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.
van Doorn William P T M et al. PloS one 2021 16(6) e0253125

Impact of a Remote Monitoring Programme Including Lifestyle Education Software in Type 2 Diabetes: Results of the Educ@dom Randomised Multicentre Study.
Turnin Marie-Christine et al. Diabetes therapy : research, treatment and education of diabetes and related disorders 2021

Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age-related macular degeneration.
Jin Kai et al. Acta ophthalmologica 2021

Handwork vs machine: a comparison of rheumatoid arthritis patient populations as identified from EHR free-text by diagnosis extraction through machine-learning or traditional criteria-based chart review.
Maarseveen T D et al. Arthritis research & therapy 2021 23(1) 174

ESR white paper: blockchain and medical imaging.
et al. Insights into imaging 2021 12(1) 82

Towards gender equity in artificial intelligence and machine learning applications in dermatology.
Lee Michelle S et al. Journal of the American Medical Informatics Association : JAMIA 2021

Regulating AI in Health Care: The Challenges of Informed User Engagement.
Kudina Olya et al. The Hastings Center report 2021

Deep learning model for automated kidney stone detection using coronal CT images.
Yildirim Kadir et al. Computers in biology and medicine 2021 135104569

Acceptability and Effectiveness of Artificial Intelligence Therapy for Anxiety and Depression (Youper): Longitudinal Observational Study.
Mehta Ashish et al. Journal of medical Internet research 2021 23(6) e26771

Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
Woodman Richard John et al. Journal of medical Internet research 2021 23(6) e26139

A review of wearable biosensors for sweat analysis.
Jo Seongbin et al. Biomedical engineering letters 2021 11(2) 117-129

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers' perspectives.
Antwi William Kwadwo et al. Insights into imaging 2021 1280

What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review.
Victória Matias André et al. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 2021 91101934

Adaptation of an NLP System to a New Healthcare Environment to Identify Social Determinants of Health.
Reeves Ruth et al. Journal of biomedical informatics 2021 103851

Overcoming barriers to implementation of artificial intelligence in gastroenterology.
Sutton Richard A et al. Best practice & research. Clinical gastroenterology 2021 52-53101732

Striving for quality improvement: can artificial intelligence help?
Sinonquel P et al. Best practice & research. Clinical gastroenterology 2021 52-53101722

A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects.
Kino Shiho et al. SSM - population health 2021 15100836

Machine Learning-Reinforced Noninvasive Biosensors for Healthcare.
Zhang Kaiyi et al. Advanced healthcare materials 2021 e2100734

What is needed to mainstream artificial intelligence in health care?
Scott Ian A et al. Australian health review : a publication of the Australian Hospital Association 2021

A novel framework for bringing smart big data to proactive decision making in healthcare.
Zhou Shengyao et al. Health informatics journal 2021 27(2) 14604582211024698

Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.
Schmuelling Lena et al. European journal of radiology 2021 141109816

Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions.
Rashed-Al-Mahfuz Md et al. Biomedical engineering letters 2021 11(2) 147-162

Improving Risk Identification of Adverse Outcomes in Chronic Heart Failure Using SMOTE+ENN and Machine Learning.
Wang Ke et al. Risk management and healthcare policy 2021 142453-2463

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model.
Bhattacharya Moumita et al. CJC open 2021 3(6) 801-813

Using convolutional neural networks for tick image recognition - a preliminary exploration.
Omodior Oghenekaro et al. Experimental & applied acarology 2021

Four Biomarkers-Based Artificial Neural Network Model for Accurate Early Prediction of Bacteremia with Low-level Procalcitonin.
Su Mingkuan et al. Annals of clinical and laboratory science 2021 51(3) 408-414

Rapid and sensitive mycoplasma detection system using image-based deep learning.
Iseoka Hiroko et al. Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs 2021