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
Implementation of prognostic machine learning algorithms in paediatric chronic respiratory conditions: a scoping review.
Filipow Nicole et al. BMJ open respiratory research 2022 9(1)
Assessment of Machine Learning-Based Medical Directives to Expedite Care in Pediatric Emergency Medicine.
Singh Devin et al. JAMA network open 2022 5(3) e222599
Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia.
Wallace Micheal B et al. Gastroenterology 2022
Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer.
Brenes David et al. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 2022 97102052
Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables.
Jin Shuai et al. International journal of medical informatics 2022 161104733
Integrative Predictive Models of Computed Tomography Texture Parameters and Hematological Parameters for Lymph Node Metastasis in Lung Adenocarcinomas.
Chen Wenping et al. Journal of computer assisted tomography 2022 46(2) 315-324
Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
Feng Xiu-Long et al. Lung cancer (Amsterdam, Netherlands) 2022 166150-160
TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation.
Syed Shorabuddin et al. Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference) 2022 2022162-169
Machine Learning Approach to Stratifying Prognosis Relative to Tumor Burden after Resection of Colorectal Liver Metastases: An International Cohort Analysis.
Paro Alessandro et al. Journal of the American College of Surgeons 2022 234(4) 504-513
Machine Learning-Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal.
Lu Sheng-Chieh et al. JMIR medical informatics 2022 10(3) e33182
CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools.
Bonmatí Luis Martí et al. Frontiers in oncology 2022 12742701
Improved Machine Learning Method for Intracranial Tumor Detection with Accelerated Particle Swarm Optimization.
Pradeep K R et al. Journal of healthcare engineering 2022 20221128217
Predicting health-related social needs in Medicaid and Medicare populations using machine learning.
Holcomb Jennifer et al. Scientific reports 2022 12(1) 4554
Detecting Glaucoma in the Ocular Hypertension Study Using Deep Learning.
Fan Rui et al. JAMA ophthalmology 2022
Assessment and counseling to get the best efficiency and effectiveness of the assistive technology (MATCH): Study protocol.
Pousada García Thais et al. PloS one 2022 17(3) e0265466
Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes.
Huang Huaidong et al. Cerebral cortex (New York, N.Y. : 1991) 2022
Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence.
Boquete Luciano et al. International journal of clinical and health psychology : IJCHP 2022 22(2) 100294
Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.
Chaurasia Abadh K et al. Journal of glaucoma 2022
Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.
Meier Lukas J et al. The American journal of bioethics : AJOB 2022 1-17
A comparative study of regulatory perspectives on innovative medical devices in Korea and the United States.
Choe Minji et al. Expert review of medical devices 2022 1-7
When Medical Devices Have a Mind of Their Own: The Challenges of Regulating Artificial Intelligence.
Boubker Jessa et al. American journal of law & medicine 2022 47(4) 427-454
The added value of artificial intelligence to LI-RADS categorization: A systematic review.
Laino Maria Elena et al. European journal of radiology 2022 150110251
Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app.
O'Donovan James et al. Human resources for health 2022 20(1) 6
Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.
Taloba Ahmed I et al. Journal of healthcare engineering 2022 20227969220
Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China.
Lin Chengyi et al. Environmental research 2022 113098
Deep Learning in Healthcare System for Quality of Service.
Bordoloi Dibyahash et al. Journal of healthcare engineering 2022 20228169203
IEFHAC: Image encryption framework based on hessenberg transform and chaotic theory for smart health.
Jan Aiman et al. Multimedia tools and applications 2022 1-25
Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review.
Mbunge Elliot et al. Global health journal (Amsterdam, Netherlands) 2022
Applications and challenges of artificial intelligence in diagnostic and interventional radiology.
Waller Joseph et al. Polish journal of radiology 2022 87e113-e117
Retinal electroretinogram features can detect depression state and treatment response in adults: A machine learning approach.
Schwitzer Thomas et al. Journal of affective disorders 2022
A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research-A Work Group Report of the AAAAI Health Informatics, Technology and Education Committee.
Khoury Paneez et al. The journal of allergy and clinical immunology. In practice 2022
Ultrasound Image under Artificial Intelligence Algorithm to Evaluate the Intervention Effect of Accelerated Rehabilitation Surgery Nursing on Laparoscopic Hysterectomy.
Yu Haiwei et al. Computational intelligence and neuroscience 2022 20229042954
A Smartphone Application Using Artificial Intelligence Is Superior to Subject Self-Reporting When Assessing Stool Form.
Pimentel Mark et al. The American journal of gastroenterology 2022
Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review.
Welch Victoria et al. Journal of medical Internet research 2022 24(3) e33560
Editorial: Unleashing Innovation on Precision Public Health-Highlights From the MCBIOS and MAQC 2021 Joint Conference.
Homayouni Ramin et al. Frontiers in artificial intelligence 2022 5859700
Prognostic Value of Serial Coronary CT Angiography in Atherosclerotic Plaque Modification: What have we learnt?
Manubolu Venkat S et al. Current cardiovascular imaging reports 2022 15(2)
Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs.
Barda Noam et al. Journal of digital imaging 2022
Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression.
Xu Yixian et al. Frontiers in cardiovascular medicine 2022 9847206
Using Text Content From Coronary Catheterization Reports to Predict 5-Year Mortality Among Patients Undergoing Coronary Angiography: A Deep Learning Approach.
Li Yu-Hsuan et al. Frontiers in cardiovascular medicine 2022 9800864
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.
Saiviroonporn Pairash et al. BMC medical imaging 2022 22(1) 46
Deep Learning-Based Diffusion-Weighted Magnetic Resonance Imaging in the Diagnosis of Ischemic Penumbra in Early Cerebral Infarction.
Sheng Hui et al. Contrast media & molecular imaging 2022 20226270700
Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review.
Greco Federico et al. Quantitative imaging in medicine and surgery 2022 12(3) 2075-2089
Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study.
Jin Xin et al. European radiology 2022
A Retrospective Clinical Evaluation of an Artificial Intelligence Screening Method for Early Detection of STEMI in the Emergency Department.
Kim Dongsung et al. Journal of Korean medical science 2022 37(10) e81
Predicting Early Seizures After Intracerebral Hemorrhage with Machine Learning.
Bunney Gabrielle et al. Neurocritical care 2022
Tracking Subjective Sleep Quality and Mood With Mobile Sensing: Multiverse Study.
Niemeijer Koen et al. Journal of medical Internet research 2022 24(3) e25643
An original deep learning model using limited data for COVID-19 discrimination: A multi-center study.
Xu Fangyi et al. Medical physics 2022
COVID-19 Risk Stratification and Mortality Prediction in Hospitalized Indian Patients: Harnessing clinical data for public health benefits.
Alle Shanmukh et al. PloS one 2022 17(3) e0264785
Identifying Pneumonia Sub-types from Electronic Health Records Using Rule-based Algorithms.
Hegde Harshad et al. Methods of information in medicine 2022
Epidemiology and prediction of multidrug-resistant bacteria based on hospital level.
Chen Ying et al. Journal of global antimicrobial resistance 2022
Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.
Afrash Mohammad Reza et al. Informatics in medicine unlocked 2022 100908
Evaluation of an accelerometer-based monitor for detecting bed net use and human entry/exit using a machine learning algorithm.
Koudou Guibehi B et al. Malaria journal 2022 21(1) 85
Contributions of artificial intelligence reported in Obstetrics and Gynecology journals: a systematic review.
Dhombres Ferdinand et al. Journal of medical Internet research 2022
Artificial intelligence applied to fetal MRI: A scoping review of current research.
Meshaka Riwa et al. The British journal of radiology 2022 20211205
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:Apr 19, 2024
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