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Genomics & Precision Health Database|Non-Genomics Precision Health Update Archive|Public Health Genomics and Precision Health Knowledge Base (PHGKB) Published on 03/25/2021

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

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Non-Genomics Precision Health Scan

Birth Defects and Child Health

AI for Improving Children's Health: A Community Case Study.
Ganju Aakash et al. Frontiers in artificial intelligence 2021 3544972

Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.
Hunt Xanthe et al. Frontiers in artificial intelligence 2021 3543305

Cancer

Artificial intelligence in diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video).
Xu Ming et al. Gastrointestinal endoscopy 2021

Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.
Hart Gregory R et al. Frontiers in artificial intelligence 2021 3539879

AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.
Matin Rubeta N et al. British journal of cancer 2021

Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy.
Trebeschi Stefano et al. Frontiers in oncology 2021 11609054

What is the optimal surveillance strategy for non-dysplastic Barrett's esophagus?
Gibbens Ying et al. Current treatment options in gastroenterology 2021 18(3) 369-383

A two-stage modeling approach for breast cancer survivability prediction.
Sedighi-Maman Zahra et al. International journal of medical informatics 2021 149104438

Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting.
Holmström Oscar et al. JAMA network open 2021 4(3) e211740

Chronic Disease

Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images.
Yabu Akito et al. The spine journal : official journal of the North American Spine Society 2021

A Comparison of Artificial Intelligence and Human Diabetic Retinal Image Interpretation in an Urban Health System.
Mokhashi Nikita et al. Journal of diabetes science and technology 2021 1932296821999370

Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning.
Zhou Xiao et al. Alzheimer's research & therapy 2021 13(1) 60

Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis.
Cohen Sem E et al. Translational psychiatry 2021 11(1) 168

Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records.
Jacoba Cris Martin P et al. Seminars in ophthalmology 2021 1-8

Automated feature-based grading and progression analysis of diabetic retinopathy.
Al-Turk Lutfiah et al. Eye (London, England) 2021

Ethical, Legal and Social Issues (ELSI)

AI-Assisted Decision-making in Healthcare: The Application of an Ethics Framework for Big Data in Health and Research.
Lysaght Tamra et al. Asian bioethics review 2019 11(3) 299-314

An Ethics Framework for Big Data in Health and Research.
Xafis Vicki et al. Asian bioethics review 2019 11(3) 227-254

Delivering a Practical Framework for Ethical Decision-Making Involving Big Data in Health and Research.
Laurie Graeme T et al. Asian bioethics review 2019 11(3) 223-225

Digital inclusion as a social determinant of health
CJ Sieck et al, NPJ Digital Medicine, March 17, 2021

The use of digital tools is steadily increasing. Research suggests that tools such as health apps and patient portals can foster greater patient engagement, better support for patients outside of the clinic visit, and can improve health outcomes. However, greater reliance on digital tools has the potential to increase disparities between those who have skills and access to digital tools and those who do not and thereby existing health disparities.

General Practice

Requirements and reliability of AI in the medical context.
Balagurunathan Yoganand et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2021 8372-78

Machine learning for identifying relevant publications in updates of systematic reviews of diagnostic test studies.
Lange Toni et al. Research synthesis methods 2021

Information Models Offer Value to Standardize Electronic Health Record Flowsheet Data: A Fall Prevention Exemplar.
Lytle Kay S et al. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing 2021

HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.
Wang Xuancong et al. Journal of medical Internet research 2021 23(3) e23984

Next-Generation Continuous Metabolite Sensing toward Emerging Sensor Needs.
Bhide Ashlesha et al. ACS omega 2021 6(9) 6031-6040

Multilevel modeling of geographic variation in general practice consultations.
Astell-Burt Thomas et al. Health services research 2021

The potential of artificial intelligence to improve patient safety: a scoping review.
Bates David W et al. NPJ digital medicine 2021 4(1) 54

Three-hundred and ninety-two studies were included in the scoping review. The literature provided numerous examples of how AI has been applied within each of the eight harm domains using various techniques. The most common novel data were collected using different types of sensing technologies: vital sign monitoring, wearables, pressure sensors, and computer vision.

Dermatologic Research Potential of the Observational Health Data Sciences and Informatics (OHDSI) Network.
Sivesind Torunn Elise et al. Dermatology (Basel, Switzerland) 2021 1-9

Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study.
Castagno Simone et al. Frontiers in artificial intelligence 2021 3578983

The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?
Troncoso Erica L et al. Frontiers in artificial intelligence 2021 353

Artificial intelligence-assisted reduction in patients' waiting time for outpatient process: a retrospective cohort study.
Li Xiaoqing et al. BMC health services research 2021 21(1) 237

Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.
Lombard Melissa A et al. Environmental science & technology 2021

Heart, Lung, Blood and Sleep Diseases

Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients.
Bertsimas Dimitris et al. Health care management science 2021

Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network.
Yue Huijun et al. Nature and science of sleep 2021 13361-373

Infectious Diseases

Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
Liu Qin et al. Journal of thoracic disease 2021 13(2) 1215-1229

Accurate Severe vs Non-severe COVID-19 Clinical Type Classification: a Multimodality Machine Learning Study.
Chen Yuanfang et al. Journal of medical Internet research 2021

Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.
Ye Guo-Hua et al. PloS one 2021 16(3) e0248597

An engineered CRISPR-Cas12a variant and DNA-RNA hybrid guides enable robust and rapid COVID-19 testing.
Ooi Kean Hean et al. Nature communications 2021 12(1) 1739

Tuberculosis Diagnostics and Localization in Chest X-Rays via Deep Learning Models.
Guo Ruihua et al. Frontiers in artificial intelligence 2021 3583427

Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.
Garett Renee et al. AIDS and behavior 2021


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.
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