Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content

Genomics & Precision Health Database|Non-Genomics Precision Health Update Archive|Public Health Genomics and Precision Health Knowledge Base (PHGKB) Published on 03/17/2022

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

Archived Editions

Search Precision Health database

Visit CDC Office of Public Health Genomics website

Birth Defects and Child Health

Identifying Long-Term Morbidities and Health Trajectories After Prolonged Mechanical Ventilation in Children Using State All Payer Claims Data.
Maddux Aline B et al. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2022

Machine Learning-Driven Clinical Image Analysis to Identify Craniosynostosis: A Pilot Study of Telemedicine and Clinic Patients.
Paro Mitch et al. Neurosurgery 2022

Application of Deep Learning Techniques for Automated Diagnosis of Non-Syndromic Craniosynostosis Using Skull X-Ray.
Mizutani Katsuhiro et al. The Journal of craniofacial surgery 2022

Cancer

Preoperative prediction of lymph node metastasis using deep learning-based features.
Cattell Renee et al. Visual computing for industry, biomedicine, and art 2022 5(1) 8

A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models.
Hindocha Sumeet et al. EBioMedicine 2022 77103911

Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records.
Hussan Hisham et al. PloS one 2022 17(3) e0265209

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology.
Joel Marina Z et al. JCO clinical cancer informatics 2022 6e2100170

Comparison of Immune Response Assessment in Colon Cancer by Immunoscore (Automated Digital Pathology) and Pathologist Visual Scoring.
Boquet Isabelle et al. Cancers 2022 14(5)

Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study.
Yang Ting-Ya et al. JMIR medical informatics 2022 10(3) e33006

Development and validation of a gradient boosting machine to predict prognosis after liver resection for intrahepatic cholangiocarcinoma.
Ji Gu-Wei et al. BMC cancer 2022 22(1) 258

Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer.
Qi Tan Hong et al. Breast cancer research and treatment 2022

Optimised Pre-Processing of Raman Spectra for Colorectal Cancer Detection Using High-Performance Computing.
Woods Freya Elisabeth Rhoda et al. Applied spectroscopy 2022 37028221088320

On the Automation of Radiomics-based Identification and Characterization of NSCLC.
D'Arnese Eleonora et al. IEEE journal of biomedical and health informatics 2022 PP

Chronic Disease

Construction of a Physical and Medical Care Integrated Model for the Elderly in the Community Based on Artificial Intelligence and Machine Learning.
Yang Zongyou et al. Journal of healthcare engineering 2022 20223678577

Exploiting real-world data to monitor physical activity in patients with osteoarthritis: the opportunity of digital epidemiology.
Ravalli Silvia et al. Heliyon 2022 8(2) e08991

Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
Abdel-Fattah Manal A et al. Computational intelligence and neuroscience 2022 20229898831

Ten years of image analysis and machine learning competitions in dementia.
Bron Esther E et al. NeuroImage 2022 119083

Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure.
Jabbour Sarah et al. Journal of the American Medical Informatics Association : JAMIA 2022

Automatic detection and classification of knee osteoarthritis using deep learning approach.
Abdullah S Sheik et al. La Radiologia medica 2022

Development of Various Diabetes Prediction Models Using Machine Learning Techniques.
Shin Juyoung et al. Diabetes & metabolism journal 2022

Artificial intelligence in glomerular diseases.
Schena Francesco P et al. Pediatric nephrology (Berlin, Germany) 2022

Glaucoma Detection Using Image Processing and Supervised Learning for Classification.
Joshi Shubham et al. Journal of healthcare engineering 2022 20222988262

Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.
Ruamviboonsuk Paisan et al. The Lancet. Digital health 2022

Predicting UPDRS Motor Symptoms in Individuals with Parkinsons Disease from Force Plates Using Machine Learning.
Exley Trevor Wayne et al. IEEE journal of biomedical and health informatics 2022 PP

Conceptual design of the dual X-ray absorptiometry health informatics prediction system for osteoporosis care.
E Erjiang et al. Health informatics journal 2022 28(1) 14604582211066465

Ethical, Legal and Social Issues (ELSI)

iHealth: The ethics of artificial intelligence and big data in mental healthcare.
Rubeis Giovanni et al. Internet interventions 2022 28100518

General Practice

Artificial Intelligence (AI) education for the health workforce: An expert survey of approaches and needs.
Gray Kathleen et al. JMIR medical education 2022

Machine Learning in Healthcare.
Habehh Hafsa et al. Current genomics 2022 22(4) 291-300

Applying machine learning to explore the association between biological stress and near misses in emergency medicine residents.
Xu Sonnet et al. PloS one 2022 17(3) e0264957

Examining the Determinants of Patient Perception of Physician Review Helpfulness across Different Disease Severities: A Machine Learning Approach.
Shah Adnan Muhammad et al. Computational intelligence and neuroscience 2022 20228623586

Quantifying the impact of physical activity on future glucose trends using machine learning.
Tyler Nichole S et al. iScience 2022 25(3) 103888

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.
Zhang Xingping et al. Frontiers in oncology 2022 12773840

Can Robots Do Epidemiology? Machine Learning, Causal Inference, and Predicting the Outcomes of Public Health Interventions.
Broadbent Alex et al. Philosophy & technology 2022 35(1) 14

Evaluation of an OCT-AI-Based Telemedicine Platform for Retinal Disease Screening and Referral in a Primary Care Setting.
Liu Xiaoqiang et al. Translational vision science & technology 2022 11(3) 4

Are Machine Learning Algorithms More Accurate in Predicting Vegetable and Fruit Consumption Than Traditional Statistical Models? An Exploratory Analysis.
Côté Mélina et al. Frontiers in nutrition 2022 9740898

Artificial intelligence and machine learning in emergency medicine: a narrative review.
Mueller Brianna et al. Acute medicine & surgery 2022 9(1) e740

Diagnostic accuracy of a commercially available deep learning algorithm in supine chest radiographs following trauma.
Gipson Jacob et al. The British journal of radiology 2022 20210979

An Internet-Based Multi-Approach Intervention Targeting University Students Suffering from Psychological Problems: Design, Implementation, and Evaluation.
De Fabritiis Marlene et al. International journal of environmental research and public health 2022 19(5)

Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers.
Bentley Kate H et al. JMIR formative research 2022 6(3) e30946

Improving the Prediction of Persistent High Healthcare Utilizers: Using an Ensemble Methodology.
Howson Stephanie N et al. JMIR medical informatics 2022

Dental age assessment based on CBCT images using machine learning algorithms.
Saric Rijad et al. Forensic science international 2022 334111245

Development and Effectiveness of a Clinical Decision Support System for Pressure Ulcer Prevention Care Using Machine Learning: A Quasi-experimental Study.
Kim Myoung Soo et al. Computers, informatics, nursing : CIN 2022

Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program.
Svedberg Petra et al. JMIR research protocols 2022 11(3) e34920

Heart, Lung, Blood and Sleep Diseases

Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.
Baashar Yahia et al. Computational intelligence and neuroscience 2022 20225849995

Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective.
Bandyopadhyay Anuja et al. Sleep & breathing = Schlaf & Atmung 2022

A machine learning-based clinical decision support algorithm for reducing unnecessary coronary angiograms.
Schwalm J D et al. Cardiovascular digital health journal 2022 3(1) 21-30

Rationale and design of the SafeHeart study: Development and testing of a mHealth tool for the prediction of arrhythmic events and implantable cardioverter-defibrillator therapy.
Frodi Diana M et al. Cardiovascular digital health journal 2022 2(6 Suppl) S11-S20

An artificial intelligence-enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the 'Turing test'?
Kashou Anthony H et al. Cardiovascular digital health journal 2022 2(3) 164-170

2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society.
Varma Niraj et al. Cardiovascular digital health journal 2022 2(1) 4-54

A comprehensive artificial intelligence-enabled electrocardiogram interpretation program.
Kashou Anthony H et al. Cardiovascular digital health journal 2022 1(2) 62-70

Automated prediction of low ferritin concentrations using a machine learning algorithm.
Kurstjens Steef et al. Clinical chemistry and laboratory medicine 2022

Imaging-based outcome prediction in posterior circulation stroke.
Kniep Helge C et al. Journal of neurology 2022

Infectious Diseases

Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta-analysis.
Habib Al-Rahim et al. Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery 2022

Deploying Machine Learning Models Using Progressive Web Applications: Implementation Using a Neural Network Prediction Model for Pneumonia Related Child Mortality in The Gambia.
Mohammed Nuredin I et al. Frontiers in public health 2022 9772620

Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients.
Alrajhi Abdulrahman A et al. International journal of environmental research and public health 2022 19(5)

Evaluating Completeness of Foodborne Outbreak Reporting in the United States, 1998-2019.
Zhang Yutong et al. International journal of environmental research and public health 2022 19(5)

Predictive Analysis of Healthcare-Associated Blood Stream Infections in the Neonatal Intensive Care Unit Using Artificial Intelligence: A Single Center Study.
Montella Emma et al. International journal of environmental research and public health 2022 19(5)

Predicting future community-level ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data.
Tedijanto Christine et al. PLoS neglected tropical diseases 2022 16(3) e0010273

Predictive analytics using machine learning to identify ART clients at health system level at greatest risk of treatment interruption in Mozambique and Nigeria.
Stockman Jeni et al. Journal of acquired immune deficiency syndromes (1999) 2022

Reproductive Health

Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes: A Secondary Analysis of a Randomized Clinical Trial.
Zhong Yongqi et al. JAMA network open 2022 5(3) e2143414


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.
TOP