About Non-Genomics Precision Health Scan
This update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The scan focus on various conditions including, birth defects, newborn screening, reproductive health, childhood diseases, cancer, chronic diseases, medication, family health history, guidelines and recommendations. The sweep also includes news, reviews, commentaries, tools and database. View Data Selection Criteria
Non-Genomics Precision Health Scan
3D Photography to Quantify the Severity of Metopic Craniosynostosis.
Bruce Madeleine K et al. The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association 2022 10556656221087071
Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.
Liu Lei et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2021783-792
Abilities and Disabilities-Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders.
Wolff Nicole et al. Frontiers in psychiatry 2022 13826043
Artificial Intelligence for Colonoscopy: Past, Present, and Future.
Tavanapong Wallapak et al. IEEE journal of biomedical and health informatics 2022 PP
Machine learning-based prediction of upgrading on magnetic resonance imaging targeted biopsy in patients eligible for active surveillance.
ElKarami Bashier et al. Urologic oncology 2022
Prediction of Microvascular Invasion in Hepatocellular Carcinoma with Expert-inspiration and Skeleton Sharing Deep Learning.
Xiao Han et al. Liver international : official journal of the International Association for the Study of the Liver 2022
A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models.
Alfi Iftiaz A et al. Diagnostics (Basel, Switzerland) 2022 12(3)
Radiomics in Cross-Sectional Adrenal Imaging: A Systematic Review and Quality Assessment Study.
Stanzione Arnaldo et al. Diagnostics (Basel, Switzerland) 2022 12(3)
Artificial intelligence - can it be used to outsmart oral cancer?
Baniulyte G et al. Evidence-based dentistry 2022 23(1) 12-13
Informative Power Evaluation of Clinical Parameters to Predict Initial Therapeutic Response in Patients with Advanced Pleural Mesothelioma: A Machine Learning Approach.
Massafra Raffaella et al. Journal of clinical medicine 2022 11(6)
Application Effect Analysis of Operating Room Detailed Nursing Based on Medical Big Data in Patients Undergoing Gastrointestinal Tumor Surgery.
Meng Yan et al. Journal of healthcare engineering 2022 20228575305
A Classifier for Improving Early Lung Cancer Diagnosis Incorporating Artificial Intelligence and Liquid Biopsy.
Ye Maosong et al. Frontiers in oncology 2022 12853801
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer.
Mohamed Sameh K et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2021853-862
The Role of Artificial Intelligence in Early Cancer Diagnosis.
Hunter Benjamin et al. Cancers 2022 14(6)
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review.
Jekel Leon et al. Cancers 2022 14(6)
Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer.
Qiu Hang et al. Current oncology (Toronto, Ont.) 2022 29(3) 1773-1795
Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis.
Rasool Abdur et al. International journal of environmental research and public health 2022 19(6)
Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening.
Kim Seongmin et al. Healthcare (Basel, Switzerland) 2022 10(3)
Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.
Ueda Daiju et al. PloS one 2022 17(3) e0265751
Utilization of machine learning methods for predicting surgical outcomes after total knee arthroplasty.
Mohammed Hina et al. PloS one 2022 17(3) e0263897
Data sources for precision public health of obesity: a scoping review, evidence map and use case in Queensland, Australia.
Canfell Oliver J et al. BMC public health 2022 22(1) 584
A Clinical Decision Support System for the Prediction of Quality of Life in ALS.
Antoniadi Anna Markella et al. Journal of personalized medicine 2022 12(3)
Prediction of quality of life in schizophrenia using machine learning models on data from Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial.
Beaudoin Mélissa et al. NPJ schizophrenia 2022 8(1) 29
Delivery of a Mental Health Intervention for Chronic Pain Through an Artificial Intelligence-Enabled App (Wysa): Protocol for a Prospective Pilot Study.
Gupta Megha et al. JMIR research protocols 2022
Identification of Digital Health Priorities for Palliative Care Research: Modified Delphi Study.
Nwosu Amara Callistus et al. JMIR aging 2022 5(1) e32075
Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials.
Ezzati Ali et al. Alzheimer's & dementia (New York, N. Y.) 2022 8(1) e12223
Intelligent Algorithm-Based Ultrasound Image for Evaluating the Effect of Comprehensive Nursing Scheme on Patients with Diabetic Kidney Disease.
Zhao Chunyan et al. Computational and mathematical methods in medicine 2022 20226440138
Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration.
Potapenko Ivan et al. Acta ophthalmologica 2022
Comparison of Insulin Dose Adjustments Made by Artificial Intelligence based Decision Support System and by Physicians in People with Type 1 Diabetes using Multiple Daily Injections Therapy.
Nimri Revital et al. Diabetes technology & therapeutics 2022
The Analysis of Pain Research through the Lens of Artificial Intelligence and Machine Learning.
Nagireddi Jagadesh N et al. Pain physician 2022 25(2) E211-E243
Deep Learning Algorithm-Based MRI Image in the Diagnosis of Diabetic Macular Edema.
Han Xiuping et al. Contrast media & molecular imaging 2022 20221035619
[World Health Organization guidance Ethical and Governance of Artificial Intelligence for health and implications for China].
Wei B R et al. Zhonghua yi xue za zhi 2022 102(12) 833-837
An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research.
Zhang Joe et al. The Lancet. Digital health 2022 4(4) e212-e213
Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals.
Jussupow Ekaterina et al. JMIR formative research 2022 6(3) e28750
Deep learning models in medical image analysis.
Tsuneki Masayuki et al. Journal of oral biosciences 2022
Industry 4.0 and Digitalisation in Healthcare.
Popov Vladimir V et al. Materials (Basel, Switzerland) 2022 15(6)
Investigating Health Context: Using Geospatial Big Data Ecosystem.
Haithcoat Timothy et al. JMIR medical informatics 2022
Bias Assessment and Correction in Machine Learning Algorithms: A Use-Case in a Natural Language Processing Algorithm to Identify Hospitalized Patients with Unhealthy Alcohol Use.
Borgese Marissa et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2021247-254
Remote Health Monitoring in Clinical Trial using Machine Learning Techniques: A Conceptual Framework.
Abiodun Theresa N et al. Health and technology 2022 1-6
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review.
Ahsan Md Manjurul et al. Healthcare (Basel, Switzerland) 2022 10(3)
Predicting Outcome of Traumatic Brain Injury: Is Machine Learning the Best Way?
Bruschetta Roberta et al. Biomedicines 2022 10(3)
Multivariable prediction models for health care spending using machine learning: a protocol of a systematic review.
Huang Andrew W et al. Diagnostic and prognostic research 2022 6(1) 4
Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research.
Huang Jianwei et al. Sensors (Basel, Switzerland) 2022 22(6)
Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation.
Liu Nan et al. JMIR research protocols 2022 11(3) e34201
Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence-Enabled Clinical Decision Support Systems: Literature Review.
Knop Michael et al. JMIR human factors 2022 9(1) e28639
Big Data Reality Check (BDRC) for public health: to what extent the environmental health and health services research did meet the 'V' criteria for big data? A study protocol.
Tang Pui Pui et al. BMJ open 2022 12(3) e053447
Artificial intelligence model validation before its application in clinical diagnosis assistance.
Vazquez-Zapien Gustavo Jesus et al. World journal of gastroenterology 2022 28(5) 602-604
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.
Suri Jasjit S et al. Diagnostics (Basel, Switzerland) 2022 12(3)
Predictive Model and Mortality Risk Score during Admission for Ischaemic Stroke with Conservative Treatment.
Lea-Pereira María Carmen et al. International journal of environmental research and public health 2022 19(6)
Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.
Ebrahimian Shadi et al. Clinical imaging 2022 8625-30
How artificial intelligence improves radiological interpretation in suspected pulmonary embolism.
Cheikh Alexandre Ben et al. European radiology 2022
Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.
Lipkova Jana et al. Nature medicine 2022 28(3) 575-582
"Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning.
Hagio Tomoe et al. European journal of nuclear medicine and molecular imaging 2022
Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach.
Chmiel Francis P et al. JMIR medical informatics 2022 10(3) e26499
Cognitive Impairment of Patient With Neurological Cerebrovascular Disease Using the Artificial Intelligence Technology Guided by MRI.
Zhang Lifang et al. Frontiers in public health 2022 9813641
Nonlaboratory-based risk assessment model for coronary heart disease screening: Model development and validation.
Zhang Liying et al. International journal of medical informatics 2022 162104746
Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis.
Chen Hung-Yi et al. Journal of personalized medicine 2022 12(3)
Machine Learning Model-Based Simple Clinical Information to Predict Decreased Left Atrial Appendage Flow Velocity.
Li Chao et al. Journal of personalized medicine 2022 12(3)
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease.
Cox Meredith et al. Cardiovascular and interventional radiology 2022
Effect Evaluation of Artificial Intelligence-Based Electronic Health PDCA Nursing Model in the Treatment of Mycoplasma Pneumonia in Children.
Zhao Yan et al. Journal of healthcare engineering 2022 20221956944
Machine Learning and Antibiotic Management.
Maviglia Riccardo et al. Antibiotics (Basel, Switzerland) 2022 11(3)
An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis.
Loddo Andrea et al. Journal of imaging 2022 8(3)
Intelligent IoT (IIoT) Device to Identifying Suspected COVID-19 Infections Using Sensor Fusion Algorithm and Real-Time Mask Detection Based on the Enhanced MobileNetV2 Model.
Shinde Rupali Kiran et al. Healthcare (Basel, Switzerland) 2022 10(3)
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.
Chowdhury Nihad Karim et al. Computers in biology and medicine 2022 145105405
Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening.
Sakai Akira et al. Biomedicines 2022 10(3)
Disclaimer: Articles listed in Non-Genomics Precision Health Scan are selected by the CDC Office of Genomics and Precision Public Health to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Mar 27, 2024
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