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Precision Health Database| Non-Genomics Precision Health Weekly Scan|PHGKB
Publication Date: Nov 24, 2021

news News and Publications


Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning framework.
Bhattacharya Indrani et al. Medical image analysis 2021 75102288

Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images.
Hirai Keiko et al. Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2021

Evaluation of conventional and deep learning based image harmonization methods in radiomics studies.
Tixier Florent et al. Physics in medicine and biology 2021

Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI.
Cho Jungheum et al. Frontiers in oncology 2021 11739639

A comprehensive texture feature analysis framework of renal cell carcinoma: pathological, prognostic, and genomic evaluation based on CT images.
Wu Kai et al. European radiology 2021

Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.
Le Thien My-Anh et al. Studies in health technology and informatics 2021 287144-148

Chronic Disease

An Electronic Health Record-Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data.
Kent David M et al. Mayo Clinic proceedings 2021

Using CatBoost algorithm to identify middle-aged and elderly depression, national health and nutrition examination survey 2011-2018.
Zhang Chenyang et al. Psychiatry research 2021 306114261

Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.
Ipp Eli et al. JAMA network open 2021 4(11) e2134254

Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project.
Ko Sunho et al. Orthopaedic journal of sports medicine 2021 9(11) 23259671211050613

Can we predict anti-seizure medication response in focal epilepsy using machine learning?
Lee Dong Ah et al. Clinical neurology and neurosurgery 2021 211107037

Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning.
Song Chenggang et al. Frontiers in computational neuroscience 2021 15735991

General Practice

Artificial Intelligence: the future of medicine, or an overhyped and dangerous idea?
Karmakar Shubhangi et al. Irish journal of medical science 2021

Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes.
Grunhut Joel et al. Journal of medical education and curricular development 2021 823821205211036836

A machine learning model to estimate ambient PM concentrations in industrialized highveld region of South Africa.
Zhang Danlu et al. Remote sensing of environment 2021 266

Artificial Intelligence Applications in Urology: Reporting Standards to Achieve Fluency for Urologists.
Chen Andrew B et al. The Urologic clinics of North America 2021 49(1) 65-117

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review.
Nijman Swj et al. Journal of clinical epidemiology 2021

What Makes Artificial Intelligence Exceptional in Health Technology Assessment?
Bélisle-Pipon Jean-Christophe et al. Frontiers in artificial intelligence 2021 4736697

Heart, Lung, Blood and Sleep Diseases

Machine learning models for screening carotid atherosclerosis in asymptomatic adults.
Yu Jian et al. Scientific reports 2021 11(1) 22236

A Machine Learning-Based Prediction Model for Cardiovascular Risk in Women With Preeclampsia.
Wang Guan et al. Frontiers in cardiovascular medicine 2021 8736491

Artificial Intelligence Assesses Clinician's Adherence to Asthma Guidelines using Electronic Health Records.
Sagheb Elham et al. The journal of allergy and clinical immunology. In practice 2021

Infectious Diseases

A machine learning model of microscopic agglutination test for diagnosis of leptospirosis.
Oyamada Yuji et al. PloS one 2021 16(11) e0259907


Machine Learning for Prediction of Stable Warfarin Dose in US Latinos and Latin Americans.
Steiner Heidi E et al. Frontiers in pharmacology 2021 12749786

Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes.
Chen Yuan et al. Journal of the American Statistical Association 2021 116(533) 269-282

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis.
Mallon Ann-Marie et al. BMC medical research methodology 2021 21(1) 250

Reproductive Health

Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.
Akazawa Munetoshi et al. Scientific reports 2021 11(1) 22620

About Weekly Scan

This weekly update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The weekly 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 weekly sweep also includes news, reviews, commentaries, tools and database.

Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the 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 update, 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.