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
Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence.
Noll Richard et al. Studies in health technology and informatics 2022 295422-425
Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co-occurring diagnoses.
Schulte-Rüther Martin et al. Journal of child psychology and psychiatry, and allied disciplines 2022
Machine learning in neuro-oncology: toward novel development fields.
Di Nunno Vincenzo et al. Journal of neuro-oncology 2022
Prediction Performance of Deep Learning for Colon Cancer Survival Prediction on SEER Data.
Gupta Surbhi et al. BioMed research international 2022 20221467070
Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang Ho et al. Journal of magnetic resonance imaging : JMRI 2022
Automated brain tumor identification using magnetic resonance imaging: A systematic review and meta-analysis.
Kouli Omar et al. Neuro-oncology advances 2022 4(1) vdac081
Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis.
Pei Qin et al. Clinical chemistry and laboratory medicine 2022
Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with Lu-PSMA I&T therapy.
Xue Song et al. European journal of nuclear medicine and molecular imaging 2022
Impact of artificial intelligence in breast cancer screening with mammography.
Dang Lan-Anh et al. Breast cancer (Tokyo, Japan) 2022
Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.
Sasaki Yuki et al. International journal of computer assisted radiology and surgery 2022
Machine Learning Models for Inpatient Glucose Prediction.
Zale Andrew et al. Current diabetes reports 2022
Personalizing self-management via behavioral predictive analytics with health education for improved self-efficacy.
Sy Bon et al. Patterns (New York, N.Y.) 2022 3(6) 100510
The Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review.
Mattison Graeme et al. Journal of medical Internet research 2022 24(7) e36690
Characterizing early residual fluid in neovascular age-related macular degeneration using machine learning in routine clinical practice.
Wu Anna K et al. Ophthalmology. Retina 2022
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements.
Gupta Mehak et al. ACM transactions on computing for healthcare 2022 3(3)
Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis.
Alves Pedro et al. Multiple sclerosis journal - experimental, translational and clinical 2022 8(2) 20552173221108635
Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning.
Zhu Taiyu et al. IEEE transactions on bio-medical engineering 2022 PP
Customized and Automated Machine Learning-Based Models for Diabetes Type 2 Classification.
Mohsen Farida et al. Studies in health technology and informatics 2022 295517-520
Application of Machine Learning Techniques to Examine Social Service Needs Among Hispanic Family Caregivers of Persons with Dementia.
Yoon Sunmoo et al. Studies in health technology and informatics 2022 295507-510
Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma using Color Fundus Photography.
Atalay Eray et al. Turkish journal of ophthalmology 2022 52(3) 193-200
Patients Perceptions of Artificial Intelligence in Diabetic Eye Screening.
Yap Aaron et al. Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2022 11(3) 287-293
Privacy preserving Generative Adversarial Networks to model Electronic Health Records.
Venugopal Rohit et al. Neural networks : the official journal of the International Neural Network Society 2022 153339-348
Machine learning can improve the development of evidence-based dietary guidelines.
Bodnar Lisa M et al. Public health nutrition 2022 1-4
How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review.
Schulte Timo et al. International journal of integrated care 2022 22(2) 23
Semi-supervised approach to event time annotation using longitudinal electronic health records.
Liang Liang et al. Lifetime data analysis 2022
Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice.
Lee Seungsoo et al. Korean journal of radiology 2022
Incorporating artificial intelligence in medical diagnosis: A case for an invisible and (un)disruptive approach.
Sibbald Matt et al. Journal of evaluation in clinical practice 2022
Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review.
Azarpira Mohammadreza et al. Studies in health technology and informatics 2022 295304-307
Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.
Noel Christopher W et al. JAMA otolaryngology-- head & neck surgery 2022
Deep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency.
Lee Jae-Hong et al. Journal of periodontal & implant science 2022 52(3) 220-229
Can artificial intelligence increase the efficiency in referrals from primary to specialized care?
Tejedor Marta et al. Revista espanola de enfermedades digestivas : organo oficial de la Sociedad Espanola de Patologia Digestiva 2022
Physician Acceptance of Machine Learning for Diagnostic Purposes: Caution, Bumpy Road Ahead!
Al-Edresee Thamer et al. Studies in health technology and informatics 2022 29583-86
A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams.
Huang Robert J et al. JCO clinical cancer informatics 2022 6e2200039
Clinical decision-support for acute burn referral and triage at specialized centres - Contribution from routine and digital health tools.
Boissin Constance et al. Global health action 2022 15(1) 2067389
Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.
Olano-Espinosa Eduardo et al. JMIR mHealth and uHealth 2022 10(6) e34273
The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System.
Hong Grace et al. JMIR formative research 2022 6(6) e37028
Clinical Evaluation of the Automatic Coronary Artery Disease Reporting and Data System (CAD-RADS) in Coronary Computed Tomography Angiography Using Convolutional Neural Networks.
Huang Zengfa et al. Academic radiology 2022
Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.
Fahmy Ahmed S et al. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 2022 24(1) 40
Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease.
Röhrich Sebastian et al. European radiology 2022
Neurologic outcomes of carotid and other emergent interventions for ischemic stroke over six years with dataset enhanced by machine learning.
Rivera P Andrew et al. Journal of vascular surgery 2022
Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients.
Fan Bowen et al. Bioinformatics (Oxford, England) 2022 38(Supplement_1) i101-i108
Machine Learning Models to Predict In-Hospital Mortality among Inpatients with COVID-19: Underestimation and Overestimation Bias Analysis in Subgroup Populations.
Zarei Javad et al. Journal of healthcare engineering 2022 20221644910
Application of kNN and SVM to predict the prognosis of advanced schistosomiasis.
Zhou Xiaorong et al. Parasitology research 2022
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Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data.
Duong Stephanie Q et al. Arthritis research & therapy 2022 24(1) 162
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 25, 2024
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