Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU.
Mayampurath Anoop et al. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2022

Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review.
Sharifi-Heris Zahra et al. JMIR medical informatics 2022 10(4) e33875

Machine learning approaches to predicting no-shows in pediatric medical appointment.
Liu Dianbo et al. NPJ digital medicine 2022 5(1) 50

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.
Areia Miguel et al. The Lancet. Digital health 2022

An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
Lauritzen Andreas D et al. Radiology 2022 210948

Prediction Models for Radiation-Induced Neurocognitive Decline in Adult Patients With Primary or Secondary Brain Tumors: A Systematic Review.
Tohidinezhad Fariba et al. Frontiers in psychology 2022 13853472

CT-based morphologic and radiomics features for the classification of MYCN gene amplification status in pediatric neuroblastoma.
Tan Eelin et al. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2022

Development and Validation of a Non-Invasive, Chairside Oral Cavity Cancer Risk Assessment Prototype Using Machine Learning Approach.
Shimpi Neel et al. Journal of personalized medicine 2022 12(4)

A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Oncology: A Review.
Brunasso Lara et al. Life (Basel, Switzerland) 2022 12(4)

Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma.
Lisson Catharina Silvia et al. Cancers 2022 14(8)

Glioma Tumors' Classification Using Deep-Neural-Network-Based Features with SVM Classifier.
Latif Ghazanfar et al. Diagnostics (Basel, Switzerland) 2022 12(4)

Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms-A Scoping Review.
Pantelis Athanasios G et al. Diagnostics (Basel, Switzerland) 2022 12(4)

The Utility of Conventional Amino Acid PET Radiotracers in the Evaluation of Glioma Recurrence also in Comparison with MRI.
Santo Giulia et al. Diagnostics (Basel, Switzerland) 2022 12(4)

Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review.
Davri Athena et al. Diagnostics (Basel, Switzerland) 2022 12(4)

Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.
Michaely Henrik J et al. Diagnostics (Basel, Switzerland) 2022 12(4)

Clinical evaluation of a real-time artificial intelligence-based polyp detection system: a US multi-center pilot study.
Quan Susan Y et al. Scientific reports 2022 12(1) 6598

Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.
Tzelves Lazaros et al. PloS one 2022 17(4) e0265127

A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices.
Xue Zhiyun et al. Proceedings. IEEE International Symposium on Computer-Based Medical Systems 2022 2021527-532

Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review.
Yang Xinyu et al. JMIR medical informatics 2022 10(4) e33799

A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning.
Liu Xiangliang et al. Cancer management and research 2022 141431-1441

Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma.
Li Wenle et al. Frontiers in medicine 2022 9807382

Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
Wu Miao et al. Current medical imaging 2022

Breast cancer detection using artificial intelligence techniques: A systematic literature review.
Nassif Ali Bou et al. Artificial intelligence in medicine 2022 127102276

Artificial Intelligence Algorithms in Diabetic Retinopathy Screening.
Zafar Sidra et al. Current diabetes reports 2022

Detection of Schizophrenia Cases From Healthy Controls With Combination of Neurocognitive and Electrophysiological Features.
Tian Qing et al. Frontiers in psychiatry 2022 13810362

Radiomics Analysis of Brain [F]FDG PET/CT to Predict Alzheimer's Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis.
Alongi Pierpaolo et al. Diagnostics (Basel, Switzerland) 2022 12(4)

A Systematic Review of Artificial Intelligence-Based Image Diagnosis for Inflammatory Bowel Disease.
Kawamoto Ami et al. Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society 2022

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.
Girolami Ilaria et al. Journal of nephrology 2022

The Effectiveness of Predicting Suicidal Ideation through Depressive Symptoms and Social Isolation Using Machine Learning Techniques.
Kim Sunhae et al. Journal of personalized medicine 2022 12(4)

Cardiovascular/Stroke Risk Stratification in Parkinson's Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review.
Suri Jasjit S et al. Metabolites 2022 12(4)

Differential diagnosis between Parkinson's disease and atypical parkinsonism based on gait and postural instability: Artificial intelligence using an enhanced weight voting ensemble model.
Song Joomee et al. Parkinsonism & related disorders 2022 9832-37

A Machine Learning-Based Predictive Model to Identify Patients Who Failed to Attend a Follow-up Visit for Diabetes Care After Recommendations From a National Screening Program.
Okada Akira et al. Diabetes care 2022

TMJOAI: An Artificial Web-Based Intelligence Tool for Early Diagnosis of the Temporomandibular Joint Osteoarthritis.
Le Celia et al. Clinical image-based procedures, distributed and collaborative learning, artificial intelligence for combating COVID-19 and secure and privacy-preserving machine learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Work... 2022 1296978-87

The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19.
Galetsi Panagiota et al. Social science & medicine (1982) 2022 301114973

Ethical issues of collecting, storing, and analyzing geo-referenced tweets for mental health research.
Fadda Marta et al. Digital health 2022 820552076221092539

The Need for Medical Artificial Intelligence That Incorporates Prior Images.
Acosta Julián N et al. Radiology 2022 212830

Real world data and data science in medical research: present and future.
Togo Kanae et al. Japanese journal of statistics and data science 2022 1-13

The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review.
Chu Hongmin et al. Frontiers in pharmacology 2022 13826044

Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence.
Dong Shengtao et al. Computational intelligence and neuroscience 2022 20228978878

Scaphoid Fracture Detection by Using Convolutional Neural Network.
Yang Tai-Hua et al. Diagnostics (Basel, Switzerland) 2022 12(4)

Psychosocial-Behavioral Phenotyping: A Novel Precision Health Approach to Modeling Behavioral, Psychological, and Social Determinants of Health Using Machine Learning.
Burgermaster Marissa et al. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine 2022

Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.
Li Yu-Yu et al. BMC anesthesiology 2022 22(1) 116

Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision.
Adams Marc A et al. International journal of environmental research and public health 2022 19(8)

Clinical Applications of Artificial Intelligence-An Updated Overview.
Busnatu ?tefan et al. Journal of clinical medicine 2022 11(8)

Predicting the Risk of Future Multiple Suicide Attempt among First-Time Suicide Attempters: Implications for Suicide Prevention Policy.
Lin I-Li et al. Healthcare (Basel, Switzerland) 2022 10(4)

Utilization of Artificial Intelligence in Disease Prevention: Diagnosis, Treatment, and Implications for the Healthcare Workforce.
Wani Shahid Ud Din et al. Healthcare (Basel, Switzerland) 2022 10(4)

The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial.
Winslow Christopher J et al. Critical care medicine 2022

A Teenager Physical Fitness Evaluation Model Based on 1D-CNN with LSTM and Wearable Running PPG Recordings.
Guo Junqi et al. Biosensors 2022 12(4)

Evaluating the real changes of air quality due to clean air actions using a machine learning technique: Results from 12 Chinese mega-cities during 2013-2020.
Guo Yong et al. Chemosphere 2022 134608

Study on Adherence to Positive Airway Pressure Treatment for Patients with Obstructive Sleep Apnea Using Real-world Big Data in a Telemedicine Management System.
Yi Huijie et al. Methods (San Diego, Calif.) 2022

Machine learning-based identification of risk-factor signatures for undiagnosed atrial fibrillation in primary prevention and post-stroke in clinical practice.
Schnabel Renate B et al. European heart journal. Quality of care & clinical outcomes 2022

An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes.
Ansarullah Syed Immamul et al. Journal of healthcare engineering 2022 20229882288

Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications.
Langlais Élodie Labrecque et al. Journal of cardiovascular translational research 2022

Mobile health technology in atrial fibrillation.
Bonini Niccolò et al. Expert review of medical devices 2022 1-14

Machine learning techniques for arrhythmic risk stratification: a review of the literature.
Chung Cheuk To et al. International journal of arrhythmia 2022 23

Risk Prediction of Major Adverse Cardiovascular Events Occurrence Within 6 Months After Coronary Revascularization: Machine Learning Study.
Wang Jinwan et al. JMIR medical informatics 2022 10(4) e33395

Multi-Night at-Home Evaluation of Improved Sleep Detection and Classification with a Memory-Enhanced Consumer Sleep Tracker.
Ghorbani Shohreh et al. Nature and science of sleep 2022 14645-660

Establishing an interdisciplinary research team for cardio-oncology artificial intelligence informatics precision and health equity.
Brown Sherry-Ann et al. American heart journal plus : cardiology research and practice 2022 13

Prediction of Mortality in Coronary Artery Disease: Role of Machine Learning and Maximal Exercise Capacity.
de Souza E Silva Christina G et al. Mayo Clinic proceedings 2022

Machine Learning-Based Personalized Risk Prediction Model for Mortality of Patients Undergoing Mitral Valve Surgery: The PRIME Score.
Zhou Ning et al. Frontiers in cardiovascular medicine 2022 9866257

Cytomegalovirus Retinitis Screening Using Machine Learning Technology.
Srisuriyajan Pitchapa et al. Retina (Philadelphia, Pa.) 2022

Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil.
Sanchez-Gendriz Ignacio et al. Scientific reports 2022 12(1) 6550

The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system.
Han Xiaoyang et al. iScience 2022 25(5) 104227

Machine learning prediction models for postpartum depression: A multicenter study in Japan.
Matsuo Seiko et al. The journal of obstetrics and gynaecology research 2022

Development and Evaluation of a Machine Learning Prediction Model for Small-for-Gestational-Age Births in Women Exposed to Radiation before Pregnancy.
Bai Xi et al. Journal of personalized medicine 2022 12(4)

Machine learning in the prediction of postpartum depression: A review.
Cellini Paolo et al. Journal of affective disorders 2022

Natural Language Processing of Admission Notes to Predict Severe Maternal Morbidity during the Delivery Encounter.
Clapp Mark A et al. American journal of obstetrics and gynecology 2022