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 01/05/2023

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

Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review.
Das Sushmit et al. Progress in neuro-psychopharmacology & biological psychiatry 2022 110705

Identifying factors associated with central obesity in school students using artificial intelligence techniques.
Zhang Yicheng et al. Frontiers in pediatrics 2022 101060270

Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia.
Cole Emily et al. Ophthalmology science 2022 2(4) 100165

Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated with Survival.
Newgard Craig D et al. Annals of surgery 2022

Risk Prediction for Stillbirth and Neonatal Mortality in Low-resource Settings.
Shukla Vivek V et al. Newborn (Clarksville, Md.) 2022 1(2) 215-218

An accurate deep learning model for wheezing in children using real world data.
Kim Beom Joon et al. Scientific reports 2022 12(1) 22465

Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data.
Ter-Minassian Lucile et al. BMJ open 2022 12(12) e058058

Cancer

A Privacy-Preserving Distributed Medical Data Integration Security System for Accuracy Assessment of Cancer Screening: Development Study of Novel Data Integration System.
Miyaji Atsuko et al. JMIR medical informatics 2022 10(12) e38922

Biparametric MRI-based radiomics classifiers for the detection of prostate cancer in patients with PSA serum levels of 4∼10 ng/mL.
Lu Yangbai et al. Frontiers in oncology 2022 121020317

Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis.
Thong Lay Teng et al. Lung cancer (Amsterdam, Netherlands) 2022 1764-13

Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.
Raciti Patricia et al. Archives of pathology & laboratory medicine 2022

Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview.
Wong Pak Kin et al. World journal of gastroenterology 2022 28(45) 6363-6379

Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers.
Jin Wenyi et al. Frontiers in immunology 2022 131025330

Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review.
Adeoye John et al. Frontiers in oncology 2022 12976168

New Explainable Deep CNN Design for Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy.
Adoui Mohammed El et al. Current medical imaging 2022

Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy.
Chen Mingyang et al. Diagnostics (Basel, Switzerland) 2022 12(12)

Differentiation of Glioblastoma and Brain Metastases by MRI-Based Oxygen Metabolomic Radiomics and Deep Learning.
Stadlbauer Andreas et al. Metabolites 2022 12(12)

Breast Cancer Dataset, Classification and Detection Using Deep Learning.
Iqbal Muhammad Shahid et al. Healthcare (Basel, Switzerland) 2022 10(12)

Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years.
Fernandez Gerardo et al. Breast cancer research : BCR 2022 24(1) 93

Automated robust planning for IMPT in oropharyngeal cancer patients using machine learning.
van Bruggen Ilse G et al. International journal of radiation oncology, biology, physics 2022

Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy.
Zhang Cheng et al. Frontiers in molecular biosciences 2022 9937242

Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang Hanfei et al. Medical physics 2022

Application of Deep Learning in Histopathology Images of Breast Cancer: A Review.
Zhao Yue et al. Micromachines 2022 13(12)

A novel risk classification system based on the eighth edition of TNM frameworks for esophageal adenocarcinoma patients: A deep learning approach.
Shen Qiang et al. Frontiers in oncology 2022 12887841

Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature.
Anandarajah Akila et al. Breast cancer research : BCR 2022 24(1) 101

Application of machine learning techniques for predicting survival in ovarian cancer.
Sorayaie Azar Amir et al. BMC medical informatics and decision making 2022 22(1) 345

A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules.
Chen Yang et al. Journal of digital imaging 2022

Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.
Raghu Vineet K et al. JAMA network open 2022 5(12) e2248793

Feasibility of machine learning-based modeling and prediction using multiple centers data to assess intrahepatic cholangiocarcinoma outcomes.
Zhou Shuang-Nan et al. Annals of medicine 2022 55(1) 215-223

Chronic Disease

Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models.
Jung Seungho et al. Scientific reports 2022 12(1) 22411

Machine learning does not outperform traditional statistical modelling for kidney allograft failure prediction.
Truchot Agathe et al. Kidney international 2022

[The current applicating state of neural network-based electroencephalogram diagnosis of Alzheimer's disease].
Liu Yi et al. Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi 2022 39(6) 1233-1239

Validity of three risk prediction models for dementia or cognitive impairment in Australia.
Geethadevi Gopisankar M et al. Age and ageing 2022 51(12)

Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study.
Rao Shishir et al. Hypertension (Dallas, Tex. : 1979) 2022

Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors.
Lu Shengyu et al. Bone 2022 116653

Deep-Learning-Aided Diagnosis of Diabetic Retinopathy, Age-Related Macular Degeneration, and Glaucoma Based on Structural and Angiographic OCT.
Zang Pengxiao et al. Ophthalmology science 2022 3(1) 100245

Artificial intelligence-based volumetric analysis of muscle atrophy and fatty degeneration in patients with hip osteoarthritis and its correlation with health-related quality of life.
Iwasa Makoto et al. International journal of computer assisted radiology and surgery 2022

Identification of physical activity and sedentary behaviour dimensions that predict mortality risk in older adults: Development of a machine learning model in the Whitehall II accelerometer sub-study and external validation in the CoLaus study.
Chen Mathilde et al. EClinicalMedicine 2022 55101773

Classification of dry and wet macular degeneration based on the ConvNeXT model.
Wu Maonian et al. Frontiers in computational neuroscience 2022 161079155

Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning.
Razjouyan Javad et al. The American journal of cardiology 2022 19075-81

The potential role of machine learning in modelling advanced chronic liver disease.
D'Amico Gennaro et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2022

Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.
Geng Ruiqi et al. Journal of magnetic resonance imaging : JMRI 2022

Neuroimaging biomarkers for detecting schizophrenia: A resting-state functional MRI-based radiomics analysis.
Shi Dafa et al. Heliyon 2022 8(12) e12276

Artificial Intelligence Tools to Evaluate Language and Speech Patterns in Alzheimer's Disease.
Favaro Anna et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022 18 Suppl 2e064913

The Deep Dementia Phenotyping (DEMON) Network: A global platform for innovation using data science and artificial intelligence.
Ranson Janice M et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022 18 Suppl 2e067308

Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification.
Sghaireen Mohammed G et al. Diagnostics (Basel, Switzerland) 2022 12(12)

Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis.
Zee Benny et al. BMJ open diabetes research & care 2022 10(6)

Precision medicine and glaucoma management: how mathematical modeling and artificial intelligence help in clinical practice.
Guidoboni G et al. Expert review of ophthalmology 2022 17(5) 299-301

A hybrid machine learning model of depression estimation in home-based older adults: a 7-year follow-up study.
Lin Shaowu et al. BMC psychiatry 2022 22(1) 816

Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model.
Kashyap Ramgopal et al. Healthcare (Basel, Switzerland) 2022 10(12)

A Hybrid Risk Factor Evaluation Scheme for Metabolic Syndrome and Stage 3 Chronic Kidney Disease Based on Multiple Machine Learning Techniques.
Jhou Mao-Jhen et al. Healthcare (Basel, Switzerland) 2022 10(12)

A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions.
Zhao Dan et al. Diagnostics (Basel, Switzerland) 2022 12(12)

A Systematic Review of Virtual Reality and Robot Therapy as Recent Rehabilitation Technologies Using EEG-Brain-Computer Interface Based on Movement-Related Cortical Potentials.
Said Ramadhan Rashid et al. Biosensors 2022 12(12)

Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial.
Mathenge Wanjiku et al. Ophthalmology science 2022 2(4) 100168

Management of Parkinson's Disease Dysarthria: Can Artificial Intelligence Provide the Solution?
Kumar Raj et al. Annals of Indian Academy of Neurology 2022 25(5) 810-816

Machine Learning and Wearable Sensors for the Early Detection of Balance Disorders in Parkinson's Disease.
Castelli Gattinara Di Zubiena Francesco et al. Sensors (Basel, Switzerland) 2022 22(24)

Seizure forecasting using machine learning models trained by seizure diaries.
Gleichgerrcht Ezequiel et al. Physiological measurement 2022 43(12)

The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future.
Pappachan Joseph M et al. World journal of diabetes 2022 13(12) 1131-1139

Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones.
Creagh Andrew P et al. IEEE open journal of engineering in medicine and biology 2022 3202-210

Simultaneous screening and classification of diabetic retinopathy and age-related macular degeneration based on fundus photos-a prospective analysis of the RetCAD system.
Skevas Christos et al. International journal of ophthalmology 2022 15(12) 1985-1993

Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology.
Kong Xiangyong et al. Frontiers in public health 2022 101053269

Ethical, Legal and Social Issues (ELSI)

"Just" accuracy? Procedural fairness demands explainability in AI-based medical resource allocations.
Rueda Jon et al. AI & society 2022 1-12

Evidence, ethics and the promise of artificial intelligence in psychiatry.
McCradden Melissa et al. Journal of medical ethics 2022

General Practice

Artificial intelligence in the management and treatment of burns: A systematic review and meta-analyses.
Taib Bilal Gani et al. Journal of plastic, reconstructive & aesthetic surgery : JPRAS 2022 77133-161

Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid.
Groot Lipman Kevin B W et al. European radiology 2022

Artificial Intelligence in Medicine: A Text Mining of Health Care Workers' Opinions.
Nitiema Pascal et al. Journal of medical Internet research 2022

Identifying Predictors of Adherence to the Physical Activity Goal: A Secondary Analysis of the SMARTER Weight Loss Trial.
Bizhanova Zhadyra et al. Medicine and science in sports and exercise 2022

Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation.
Lin Chen et al. JMIR formative research 2022 6(12) e23422

AAPM task group report 273: Recommendations on best practices for ai and machine learning for computer-aided diagnosis in medical imaging.
Hadjiiski Lubomir et al. Medical physics 2022

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment.
Khanna Narendra N et al. Healthcare (Basel, Switzerland) 2022 10(12)

A Novel Smart Belt for Anxiety Detection, Classification, and Reduction Using IIoMT on Students' Cardiac Signal and MSY.
Pal Rishi et al. Bioengineering (Basel, Switzerland) 2022 9(12)

Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study.
Wang Siyang et al. Journal of medical Internet research 2022 24(12) e38859

A Pilot Establishment of the Job-Exposure Matrix of Lead Using the Standard Process Code of Nationwide Exposure Databases in Korea.
Park Ju-Hyun et al. Safety and health at work 2022 13(4) 493-499

Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.
Koçak Burak et al. Balkan medical journal 2022

Teaching artificial intelligence as a fundamental toolset of medicine.
Ötles Erkin et al. Cell reports. Medicine 2022 3(12) 100824

From big data to better patient outcomes.
Hulsen Tim et al. Clinical chemistry and laboratory medicine 2022

A Scoping Review of Integrated Medical Devices and Clinical Decision Support in the Acute Care Setting.
Withall Jennifer B et al. Applied clinical informatics 2022 13(5) 1223-1236

Heart, Lung, Blood and Sleep Diseases

Predictive value of CAC score combined with clinical features for obstructive coronary heart disease on coronary computed tomography angiography: a machine learning method.
Ren Yongkui et al. BMC cardiovascular disorders 2022 22(1) 569

A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images.
Penso Marco et al. Computers in biology and medicine 2022 153106484

External Validation of the Japanese Clinical Score for Mortality Prediction in Patients With Acute Heart Failure.
Takabayashi Kensuke et al. Circulation journal : official journal of the Japanese Circulation Society 2022

Assessing electrocardiogram changes after ischemic stroke with artificial intelligence.
Zeng Ziqiang et al. PloS one 2022 17(12) e0279706

Using apple watch ECG data for heart rate variability monitoring and stress prediction: A pilot study.
Velmovitsky Pedro Elkind et al. Frontiers in digital health 2022 41058826

Prognostic significance of pulmonary arterial wedge pressure estimated by deep learning in acute heart failure.
Saito Yuki et al. ESC heart failure 2022

Artificial intelligence-augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T.
De Michieli Laura et al. European heart journal. Acute cardiovascular care 2022

Explainable machine learning framework for predicting long-term cardiovascular disease risk among adolescents.
Salah Haya et al. Scientific reports 2022 12(1) 21905

Machine Learning in Cardiovascular Imaging: A Scoping Review of Published Literature.
Rouzrokh Pouria et al. Current radiology reports 2022 1-12

Cardiovascular Risk Prediction Using Machine Learning in a Large Japanese Cohort.
Matheson Matthew B et al. Circulation reports 2022 4(12) 595-603

Computational Evidence for Laboratory Diagnostic Pathways: Extracting Predictive Analytes for Myocardial Ischemia from Routine Hospital Data.
Liniger Zara et al. Diagnostics (Basel, Switzerland) 2022 12(12)

Development and Validation of Machine Learning Models to Classify Artery Stenosis for Automated Generating Ultrasound Report.
Yeh Chih-Yang et al. Diagnostics (Basel, Switzerland) 2022 12(12)

Blood Pressure Prediction Using Ensemble Rules during Isometric Sustained Weight Test.
Carrazana-Escalona Ramón et al. Journal of cardiovascular development and disease 2022 9(12)

Prediction of Hemorrhagic Complication after Thrombolytic Therapy Based on Multimodal Data from Multiple Centers: An Approach to Machine Learning and System Implementation.
Cui Shaoguo et al. Journal of personalized medicine 2022 12(12)

Answering Clinical Questions Using Machine Learning: Should We Look at Diastolic Blood Pressure When Tailoring Blood Pressure Control?
Sinski Maciej et al. Journal of clinical medicine 2022 11(24)

Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications.
Gautam Nitesh et al. Diagnostics (Basel, Switzerland) 2022 12(12)

Heart disease prediction using IoT based framework and improved deep learning approach: Medical application.
Rajkumar G et al. Medical engineering & physics 2022 103937

Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.
Choi Arom et al. Journal of cardiovascular development and disease 2022 9(12)

Professional expectations and patient expectations concerning the development of Artificial Intelligence (AI) for the early diagnosis of Pulmonary Hypertension (PH).
Winter Peter et al. Journal of responsible technology 2022 12None

Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study.
Shi Yewen et al. Frontiers in cardiovascular medicine 2022 91042996

The Use of Surgical Augmented Intelligence Maps Can Reduce Radiation and Improve Safety in the Endovascular Treatment of Complex Aortic Aneurysms.
Patel Rohini J et al. Journal of vascular surgery 2022

Infectious Diseases

Hepatitis B virus pathogenesis relevant immunosignals uncovering amino acids utilization related risk factors guide artificial intelligence-based precision medicine.
Huang Jun et al. Frontiers in pharmacology 2022 131079566

[Research progress on application of artificial intelligence in early diagnosis and prediction of sepsis].
Wei Qimei et al. Zhonghua wei zhong bing ji jiu yi xue 2022 34(11) 1218-1221

Performance of machine learning algorithms for surgical site infection case detection and prediction: A systematic review and meta-analysis.
Wu Guosong et al. Annals of medicine and surgery (2012) 2022 84104956

Host genetics impact on SARS-CoV-2 vaccine-induced immunoglobulin levels and dynamics: The role of TP53, ABO, APOE, ACE2, HLA-A, and CRP genes.
Gemmati Donato et al. Frontiers in genetics 2022 131028081

A molecular barcode and web-based data analysis tool to identify imported Plasmodium vivax malaria.
Trimarsanto Hidayat et al. Communications biology 2022 5(1) 1411

How Can AI Help Improve Food Safety?
Qian C et al. Annual review of food science and technology 2022

Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosis.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 91086047

Transferability and interpretability of the sepsis prediction models in the intensive care unit.
Chen Qiyu et al. BMC medical informatics and decision making 2022 22(1) 343

Reproductive Health

Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.
Becker Martin et al. Frontiers in pediatrics 2022 10933266

The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes-The Value of Regulatory Frameworks.
Medenica Sanja et al. Diagnostics (Basel, Switzerland) 2022 12(12)

New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring.
Hackelöer Max et al. Archives of gynecology and obstetrics 2022 1-15

A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
Barnes Josue et al. The Lancet. Digital health 2022 5(1) e28-e40

Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.
Bogale Dawit S et al. BMC medical informatics and decision making 2022 22(1) 341

Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms.
Ramanathan Ashwin et al. Eye (London, England) 2022

Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study.
Koech Angela et al. JMIR human factors 2022 9(4) e34823


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