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
FECTS: A Facial Emotion Cognition and Training System for Chinese Children with Autism Spectrum Disorder.
Wan Guobin et al. Computational intelligence and neuroscience 2022 20229213526
Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study.
Nashat Heba et al. International journal of cardiology 2022
Detecting autism from picture book narratives using deep neural utterance embeddings.
Wawer Aleksander et al. International journal of language & communication disorders 2022
Prediction of the trajectories of depressive symptoms among children in the adolescent brain cognitive development (ABCD) study using machine learning approach.
Xiang Qu et al. Journal of affective disorders 2022 310162-171
Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper.
Marti-Bonmati Luis et al. Insights into imaging 2022 13(1) 89
Progress on deep learning in digital pathology of breast cancer: a narrative review.
Zhu Jingjin et al. Gland surgery 2022 11(4) 751-766
Development of Diagnosis Model for Early Lung Nodules Based on a Seven Autoantibodies Panel and Imaging Features.
Xu Leidi et al. Frontiers in oncology 2022 12883543
Deep Learning-Based Universal Expert-Level Recognizing Pathological Images of Hepatocellular Carcinoma and Beyond.
Chen Wei-Ming et al. Frontiers in medicine 2022 9853261
Can artificial intelligence improve cancer treatments?
Derbal Youcef et al. Health informatics journal 2022 28(2) 14604582221102314
Application of the Machine-Learning Model to Improve Prediction of Non-Sentinel Lymph Node Metastasis Status Among Breast Cancer Patients.
Wu Qian et al. Frontiers in surgery 2022 9797377
Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer.
Filitto Giuseppe et al. Cancers 2022 14(9)
Precision diagnostic approach to predict 5-year risk for microvascular complications in type 1 diabetes.
Al-Sari Naba et al. EBioMedicine 2022 80104032
An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images.
Mayya Veena et al. Applied intelligence (Dordrecht, Netherlands) 2022 1-19
Deep Learning-Based Multilevel Classification of Alzheimer's Disease Using Non-invasive Functional Near-Infrared Spectroscopy.
Ho Thi Kieu Khanh et al. Frontiers in aging neuroscience 2022 14810125
Deep Learning for Glaucoma Detection and Identification of Novel Diagnostic Areas in Diverse Real-World Datasets.
Noury Erfan et al. Translational vision science & technology 2022 11(5) 11
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening.
Penfold Robert B et al. BMC medical informatics and decision making 2022 22(1) 129
Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study.
Lin Honghuang et al. Cells 2022 11(9)
Caching and Reproducibility: Making Data Science Experiments Faster and FAIRer.
Schubotz Moritz et al. Frontiers in research metrics and analytics 2022 7861944
A Blockchain-Based Verifiable User Data Access Control Policy for Secured Cloud Data Storage.
Li Xinlong et al. Computational intelligence and neuroscience 2022 20222254411
Evaluation of a deep learning system for automatic detection of proximal surface dental caries on bitewing radiographs.
Estai Mohamed et al. Oral surgery, oral medicine, oral pathology and oral radiology 2022
Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions.
Serrano-Guerrero Jesus et al. Artificial intelligence in medicine 2022 128102298
Applications of natural language processing in radiology: A systematic review.
Linna Nathaniel et al. International journal of medical informatics 2022 163104779
Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions.
Fardouly Jasmine et al. Journal of eating disorders 2022 10(1) 66
A Guide for the Application of Statistics in Biomedical Studies Concerning Machine Learning and Artificial Intelligence.
Polce Evan M et al. Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association 2022
A novel seasonal index-based machine learning approach for air pollution forecasting.
Khan Adeel et al. Environmental monitoring and assessment 2022 194(6) 429
(De)troubling transparency: artificial intelligence (AI) for clinical applications.
Winter Peter David et al. Medical humanities 2022
Distinct Diurnal and Day of Week Online Search Patterns Related to Common Eye Conditions: A Google Trends Approach.
Deiner Michael S et al. Journal of medical Internet research 2022
Validation of an autonomous artificial intelligence-based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context.
Font Octavi et al. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie 2022
Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology.
Russo Stefania et al. Nutrients 2022 14(9)
Predicting clinical outcomes using artificial intelligence and machine learning in neonatal intensive care units: a systematic review.
McAdams Ryan M et al. Journal of perinatology : official journal of the California Perinatal Association 2022
Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index.
McBane Robert D et al. Vascular medicine (London, England) 2022 1358863X221094082
Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke.
Miller Matthew I et al. Neurocritical care 2022
Evaluating atrial fibrillation artificial intelligence for the emergency department, statistical and clinical implications.
Kaminski Ann E et al. The American journal of emergency medicine 2022 5798-102
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.
Jahmunah V et al. Computers in biology and medicine 2022 146105550
Using Model-Based Analysis and Physiology-Informed Machine Learning to Refine the Stratification of Phenotypes in Heart Failure.
Jones Edith et al. FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2022 36 Suppl 1
Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning.
Wu Junwei et al. BMC pulmonary medicine 2022 22(1) 193
Implementation of a Heart Disease Risk Prediction Model Using Machine Learning.
Karthick K et al. Computational and mathematical methods in medicine 2022 20226517716
Automatic Segmentation in Acute Ischemic Stroke: Prognostic Significance of Topological Stroke Volumes on Stroke Outcome.
Wong Kelvin K et al. Stroke 2022 101161STROKEAHA121037982
Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation.
Kwon Osung et al. JMIR medical informatics 2022 10(5) e26801
Temporal shift and predictive performance of machine learning for heart transplant outcomes.
Miller Robert J H et al. The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation 2022
Patient and procedure selection for mechanical thrombectomy: Toward personalized medicine and the role of artificial intelligence.
Al Saiegh Fadi et al. Journal of neuroimaging : official journal of the American Society of Neuroimaging 2022
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review.
Comito Carmela et al. Artificial intelligence in medicine 2022 128102286
Machine learning for the prediction of acute kidney injury in patients with sepsis.
Yue Suru et al. Journal of translational medicine 2022 20(1) 215
Comparison of predictive models for cumulative live birth rate after treatment with ART.
Bardet Léna et al. Reproductive biomedicine online 2022
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 23, 2024
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