Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases.
Qu Yanji et al. Frontiers in cardiovascular medicine 2022 8797002

Elevated Coronary Artery Calcium Quantified by a Validated Deep Learning Model From Lung Cancer Radiotherapy Planning Scans Predicts Mortality.
Atkins Katelyn M et al. JCO clinical cancer informatics 2022 6e2100095

Discovering the first FDA-approved computer-aided polyp detection system.
Spadaccini Marco et al. Future oncology (London, England) 2022

Implementation of artificial intelligence in the histological assessment of pulmonary subsolid nodules.
Deng Jiajun et al. Translational lung cancer research 2022 10(12) 4574-4586

Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review.
Li Jingwei et al. Journal of thoracic disease 2022 13(12) 7021-7033

Artificial intelligence-assisted colonoscopy: A review of current state of practice and research.
Taghiakbari Mahsa et al. World journal of gastroenterology 2022 27(47) 8103-8122

The diagnostic performance of ultrasound computer-aided diagnosis system for distinguishing breast masses: a prospective multicenter study.
Wei Qi et al. European radiology 2022

Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.
Dana Jérémy et al. European radiology 2022

Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment.
Bao Dan et al. Cancer imaging : the official publication of the International Cancer Imaging Society 2022 22(1) 10

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach.
Starmans Martijn P A et al. Journal of digital imaging 2022

Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease.
Liu Xiao Qi et al. Frontiers in immunology 2022 12796383

External validation of deep learning-based bone-age software: a preliminary study with real world data.
Lea Winnah Wu-In et al. Scientific reports 2022 12(1) 1232

Artificial intelligence applications and robotic systems in Parkinson's disease (Review).
Perju-Dumbrava Lacramioara et al. Experimental and therapeutic medicine 2022 23(2) 153

Machine learning for post-traumatic stress disorder identification utilizing resting-state functional magnetic resonance imaging.
Saba Tanzila et al. Microscopy research and technique 2022

A machine-learning assisted review of the use of habit formation in medication adherence interventions for long-term conditions.
Robinson L et al. Health psychology review 2022 1-29

Early identification of older individuals at risk of mobility decline with machine learning.
do Nascimento Carla Ferreira et al. Archives of gerontology and geriatrics 2022 100104625

Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model.
Röösli Eliane et al. Scientific data 2022 9(1) 24

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.
O'Sullivan S et al. World journal of urology 2022

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review.
Gama Fábio et al. Journal of medical Internet research 2022 24(1) e32215

Use of Clinical Data Interchange Standards Consortium (CDISC) Standards for Real-world Data: Expert Perspectives From a Qualitative Delphi Survey.
Facile Rhonda et al. JMIR medical informatics 2022 10(1) e30363

In medicine, how do we machine learn anything real?
Ghassemi Marzyeh et al. Patterns (New York, N.Y.) 2022 3(1) 100392

Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.
Xu Jie et al. International wound journal 2022

The Impact of Wearable Technologies in Health Research: Scoping Review.
Huhn Sophie et al. JMIR mHealth and uHealth 2022 10(1) e34384

Machine Learning Approaches for Predicting Difficult Airway and First-Pass Success in the Emergency Department: Multicenter Prospective Observational Study.
Yamanaka Syunsuke et al. Interactive journal of medical research 2022 11(1) e28366

Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence.
Eweje Feyisope R et al. JAMA network open 2022 5(1) e2144742

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics.
Zhang Liang et al. Neural computing & applications 2022 1-21

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.
von Gerich Hanna et al. International journal of nursing studies 2022 127104153

Addressing Consequential Public Health Problems Through Informatics and Data Science.
Bakken Suzanne et al. Journal of the American Medical Informatics Association : JAMIA 2022 29(3) 413-414

Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation.
Kueper Jacqueline K et al. BMJ health & care informatics 2022 29(1)

Exploring the utility of assistive artificial intelligence for ultrasound scanning in regional anesthesia.
Bowness James Simeon et al. Regional anesthesia and pain medicine 2022

5G Use in Healthcare: The Future is Present.
Georgiou Konstantinos E et al. JSLS : Journal of the Society of Laparoendoscopic Surgeons 2022 25(4)

PhenoPad: Building AI enabled note-taking interfaces for patient encounters.
Wang Jixuan et al. NPJ digital medicine 2022 5(1) 12

Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study.
Jayakumar Shruti et al. NPJ digital medicine 2022 5(1) 11

Signal from the Noise: A Mixed Graphical and Quantitative Process Mining Approach to Evaluate Care Pathways Applied to Emergency Stroke Care.
Noshad Morteza et al. Journal of biomedical informatics 2022 104004

Artificial intelligence study on left ventricular function among normal individuals, hypertrophic cardiomyopathy and dilated cardiomyopathy patients using 1.5T cardiac cine MR images obtained by SSFP sequence.
Guo Jiajun et al. The British journal of radiology 2022 20201060

Predicting in-hospital death in pneumonic COPD exacerbation via BAP-65, CURB-65 and machine learning.
Shiroshita Akihiro et al. ERJ open research 2022 8(1)

Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming?
Fotaki Anastasia et al. Frontiers in cardiovascular medicine 2022 8818765

Fully Automated Artery-Specific Calcium Scoring Based on Machine Learning in Low-Dose Computed Tomography Screening.
Winkelmann Moritz T et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2022

Machine learning: A modern approach to pediatric asthma.
Cilluffo Giovanna et al. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology 2022 33 Suppl 2734-37

Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit population.
Jentzer Jacob C et al. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions 2022

Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.
Alsayegh Faisal et al. PloS one 2022 17(1) e0262997

Explanation of Machine Learning Models Revealed Influential Factors of Early Outcomes in Acute Ischemic Stroke: A registry database study.
Su Po-Yuan et al. JMIR medical informatics 2022

Advanced Warning of Aortic Dissection on Non-Contrast CT: The Combination of Deep Learning and Morphological Characteristics.
Yi Yan et al. Frontiers in cardiovascular medicine 2022 8762958

Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review.
Rellum Santino R et al. Journal of thoracic disease 2022 13(12) 6976-6993

Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques.
Nadakinamani Rajkumar Gangappa et al. Computational intelligence and neuroscience 2022 20222973324

ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study.
De Melo Ribeiro Henrique et al. Computers in biology and medicine 2022 143105249

Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection.
Paul Jean-François et al. Diagnostic and interventional imaging 2022

[A pretest model of obstructive coronary artery disease based on machine learning: from the C-Strat study].
Wang K et al. Zhonghua nei ke za zhi 2022 61(2) 185-192

Evaluation of the Need for Intensive Care in Children With Pneumonia: Machine Learning Approach.
Liu Yun-Chung et al. JMIR medical informatics 2022 10(1) e28934

Prediction of generalized anxiety levels during the Covid-19 pandemic: A machine learning-based modeling approach.
Albagmi Faisal Mashel et al. Informatics in medicine unlocked 2022 28100854

Zika Virus Prediction Using AI-Driven Technology and Hybrid Optimization Algorithm in Healthcare.
Dadheech Pankaj et al. Journal of healthcare engineering 2022 20222793850

A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.
Panchavati Saarang et al. American journal of infection control 2022

Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier.
Shemilt Ian et al. Systematic reviews 2022 11(1) 15