Electrophysiological Brain Changes Associated With Cognitive Improvement in a Pediatric Attention Deficit Hyperactivity Disorder Digital Artificial Intelligence-Driven Intervention: Randomized Controlled Trial.
Medina Rafael et al. Journal of medical Internet research 2021 23(11) e25466

Developing practical clinical tools for predicting neonatal mortality at a neonatal intensive care unit in Tanzania.
Kovacs Dory et al. BMC pediatrics 2021 21(1) 537

Development and Practical Implementation of a Deep Learning-Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation.
Lotan E et al. AJNR. American journal of neuroradiology 2021

Automatic Evaluation of Histological Prognostic Factors Using Two Consecutive Convolutional Neural Networks on Kidney Samples.
Marechal Elise et al. Clinical journal of the American Society of Nephrology : CJASN 2021

Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma.
Zenone M et al. Journal of the European Academy of Dermatology and Venereology : JEADV 2021

Radiomic Features Associated with Extent of Resection in Glioma Surgery.
Muscas Giovanni et al. Acta neurochirurgica. Supplement 2021 134341-347

Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data.
Ding Yong et al. Clinical and translational medicine 2021 11(11) e570

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.
Xu Lu et al. JMIR cancer 2021 7(4) e27850

Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists.
Pereiraamorim Jose et al. IEEE reviews in biomedical engineering 2021 PP

Application of Artificial Intelligence to Overcome Clinical Information Overload in Urologic Cancer.
Stenzl Arnulf et al. BJU international 2021

Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients.
Maabreh Roqia Saleem Awad et al. Applied bionics and biomechanics 2021 20219338091

Application of artificial intelligence and radiomics in pituitary neuroendocrine and sellar tumors: a quantitative and qualitative synthesis.
Koong Kelvin et al. Neuroradiology 2021

Radiomics in hepatocellular carcinoma: A state-of-the-art review.
Yao Shan et al. World journal of gastrointestinal oncology 2021 13(11) 1599-1615

Risk Assessment of Pulmonary Metastasis for Cervical Cancer Patients by Ensemble Learning Models: A Large Population Based Real-World Study.
Zhu Menglin et al. International journal of general medicine 2021 148713-8723

Validation of the predictive accuracy of health-state utility values based on the Lloyd model for metastatic or recurrent breast cancer in Japan.
Iwatani Tsuguo et al. BMJ open 2021 11(12) e046273

Cancer Needs a Robust "Metadata Supply Chain" to Realize the Promise of Artificial Intelligence.
Chung Caroline et al. Cancer research 2021 81(23) 5810-5812

Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging.
Gross Moritz et al. PloS one 2021 16(12) e0260630

Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.
Liu Wen-Cai et al. Cancer management and research 2021 138723-8736

Artificial intelligence in musculoskeletal conditions.
Román-Belmonte Juan M et al. Frontiers in bioscience (Landmark edition) 2021 26(11) 1340-1348

Machine Learning in Neuro-Oncology, Epilepsy, Alzheimer's Disease, and Schizophrenia.
English Mason et al. Acta neurochirurgica. Supplement 2021 134349-361

Exposome mapping in chronic respiratory diseases: the added value of digital technology.
Goossens Janne et al. Current opinion in allergy and clinical immunology 2021

Machine learning approach to predicting albuminuria in persons with type 2 diabetes: An analysis of the LOOK AHEAD Cohort.
Khitan Zeid et al. Journal of clinical hypertension (Greenwich, Conn.) 2021

Prediction and detection of freezing of gait in Parkinson's disease from plantar pressure data using long short-term memory neural-networks.
Shalin Gaurav et al. Journal of neuroengineering and rehabilitation 2021 18(1) 167

Development of prediction models of spontaneous ureteral stone passage through machine learning: Comparison with conventional statistical analysis.
Park Jee Soo et al. PloS one 2021 16(12) e0260517

REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial.
Lauffenburger Julie C et al. BMJ open 2021 11(12) e052091

The Artificial Intelligence Doctor: Considerations for the Clinical Implementation of Ethical AI.
Kernbach Julius M et al. Acta neurochirurgica. Supplement 2021 134257-261

The ethics of using biased Artificial Intelligence programs in clinic.
Sood Aditya et al. Journal of the American Academy of Dermatology 2021

A Conversational Artificial Intelligence Agent for a Mental Health Care App: Evaluation Study of Its Participatory Design.
Danieli Morena et al. JMIR formative research 2021 5(12) e30053

Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.
Buchlak Quinlan D et al. Acta neurochirurgica. Supplement 2021 134277-289

Big Data in the Clinical Neurosciences.
Brusko G Damian et al. Acta neurochirurgica. Supplement 2021 134271-276

Predictive Analytics in Clinical Practice: Advantages and Disadvantages.
Mijderwijk Hendrik-Jan et al. Acta neurochirurgica. Supplement 2021 134263-268

Real-time autOmatically updated data warehOuse in healThcare (ROOT): an innovative and automated data collection system.
Jung Hyun Ae et al. Translational lung cancer research 2021 10(10) 3865-3874

Thirty-day hospital readmission prediction model based on common data model with weather and air quality data.
Ryu Borim et al. Scientific reports 2021 11(1) 23313

Technical validation of real-world monitoring of gait: a multicentric observational study.
Mazzà Claudia et al. BMJ open 2021 11(12) e050785

The Mass General Brigham Biobank Portal: an i2b2-based data repository linking disparate and high-dimensional patient data to support multimodal analytics.
Castro Victor M et al. Journal of the American Medical Informatics Association : JAMIA 2021

How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.
Bakker Lytske et al. BMC medical informatics and decision making 2021 21(1) 336

Feasibility, Usability, and Effectiveness of a Machine Learning-Based Physical Activity Chatbot: Quasi-Experimental Study.
To Quyen G et al. JMIR mHealth and uHealth 2021 9(11) e28577

Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.
Esmaeilzadeh Pouyan et al. Journal of medical Internet research 2021 23(11) e25856

Implementation of Real-Time Medical and Health Data Mining System Based on Machine Learning.
Wang Pengyuan et al. Journal of healthcare engineering 2021 20217011205

A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation.
Abdelkader Wael et al. JMIR research protocols 2021 10(11) e29398

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review.
Seibert Kathrin et al. Journal of medical Internet research 2021 23(11) e26522

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.
Daneshjou Roxana et al. JAMA dermatology 2021

Evaluation of a smartphone application for diagnosis of skin diseases.
Mikolajczyk Maksym et al. Postepy dermatologii i alergologii 2021 38(5) 761-766

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.
Farrow Luke et al. The bone & joint journal 2021 103-B(12) 1754-1758

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part II-Generalization and Overfitting.
Kernbach Julius M et al. Acta neurochirurgica. Supplement 2021 13415-21

Foundations of Machine Learning-Based Clinical Prediction Modeling: Part I-Introduction and General Principles.
Kernbach Julius M et al. Acta neurochirurgica. Supplement 2021 1347-13

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers.
Rainey Clare et al. Frontiers in digital health 2021 3739327

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.
Krittanawong Chayakrit et al. The Canadian journal of cardiology 2021

Real-Time Arrhythmia Detection Using Hybrid Convolutional Neural Networks.
Bollepalli Sandeep Chandra et al. Journal of the American Heart Association 2021 e023222

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models.
Alanazi Eman M et al. JMIR formative research 2021 5(12) e23440

Artificial intelligence in pediatric cardiology: taking baby steps in the big world of data.
Van den Eynde Jef et al. Current opinion in cardiology 2021 37(1) 130-136

Accuracy of Machine Learning Models to Predict In-hospital Cardiac Arrest: A Systematic Review.
Moffat Laura M et al. Clinical nurse specialist CNS 2021 36(1) 29-44

Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study.
Matthiesen Stina et al. JMIR human factors 2021 8(4) e26964

A primer on the present state and future prospects for machine learning and artificial intelligence applications in cardiology.
Manlhiot Cedric et al. The Canadian journal of cardiology 2021

Artificial Intelligence Approach to the Monitoring of Respiratory Sounds in Asthmatic Patients.
Hafke-Dys Honorata et al. Frontiers in physiology 2021 12745635

Machine learning-based prediction of 1-year mortality for acute coronary syndrome.
Hadanny Amir et al. Journal of cardiology 2021

Identification of public submitted tick images: A neural network approach.
Justen Lennart et al. PloS one 2021 16(12) e0260622

Utility of a Machine-Guided Tool for Assessing Risk Behavior Associated With Contracting HIV in Three Sites in South Africa: Protocol for an In-Field Evaluation.
Majam Mohammed et al. JMIR research protocols 2021 10(12) e30304

Identification of antibiotic resistance and virulence-encoding factors in Klebsiella pneumoniae by Raman spectroscopy and deep learning.
Lu Jiayue et al. Microbial biotechnology 2021

A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
Yan Chenggong et al. European radiology 2021

Application of deep learning for predicting the treatment performance of real municipal wastewater based on one-year operation of two anaerobic membrane bioreactors.
Li Gaoyang et al. The Science of the total environment 2021 151920

Appropriate number of observations for determining hand hygiene compliance among healthcare workers.
Park Se Yoon et al. Antimicrobial resistance and infection control 2021 10(1) 167

Benchmarking Cesarean Delivery Rates using Machine Learning-Derived Optimal Classification Trees.
Gimovsky Alexis C et al. Health services research 2021

Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.
Tarimo Clifford Silver et al. BMJ open 2021 11(12) e051925