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 08/18/2022

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

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.
Li Shijun et al. International journal of neural systems 2022 2250044

Detection of developmental dysplasia of the hip in X-ray images using deep transfer learning.
Fraiwan Mohammad et al. BMC medical informatics and decision making 2022 22(1) 216

Cancer

A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis.
Liao Fang et al. Frontiers in oncology 2022 12862536

T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study.
Wei Mingxiang et al. Insights into imaging 2022 13(1) 130

Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging-detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score.
Peters Max et al. European urology 2022

AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study.
Roest C et al. European radiology 2022

Value of Artificial Neural Network Ultrasound in Improving Breast Cancer Diagnosis.
Chai Qiaolian et al. Computational intelligence and neuroscience 2022 20221779337

Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.
Jahn Anna Sophie et al. Cancers 2022 14(15)

Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.
Wong Alex Ngai Nick et al. Cancers 2022 14(15)

Transfer Learning-Based Multi-Scale Denoising Convolutional Neural Network for Prostate Cancer Detection.
Chui Kwok Tai et al. Cancers 2022 14(15)

ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-Up CT Series.
Zhao Wei et al. Cancers 2022 14(15)

Artificial intelligence for the detection of pancreatic lesions.
Anta Julia Arribas et al. International journal of computer assisted radiology and surgery 2022

Machine learning in point-of-care automated classification of oral potentially malignant and malignant disorders: a systematic review and meta-analysis.
Ferro Ashley et al. Scientific reports 2022 12(1) 13797

Application of artificial intelligence to pancreatic adenocarcinoma.
Chen Xi et al. Frontiers in oncology 2022 12960056

Correlates of cancer prevalence across census tracts in the United States: A Bayesian machine learning approach.
Niu Li et al. Spatial and spatio-temporal epidemiology 2022 42100522

Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI.
Yardimci Aytul Hande et al. Japanese journal of radiology 2022

Prediction of high infiltration levels in pituitary adenoma using MRI-based radiomics and machine learning.
Zhang Chao et al. Chinese neurosurgical journal 2022 8(1) 21

A deep learning-based algorithm for tall cell detection in papillary thyroid carcinoma.
Stenman Sebastian et al. PloS one 2022 17(8) e0272696

Evaluation of physician performance using a concurrent-read artificial intelligence system to support breast ultrasound interpretation.
Lai Yi-Chen et al. Breast (Edinburgh, Scotland) 2022 65124-135

Chronic Disease

Predicting Misdiagnosed Adult-onset Type 1 Diabetes Using Machine Learning.
Cheheltani Rabee et al. Diabetes research and clinical practice 2022 110029

Multi-feature computational framework for combined signatures of dementia in underrepresented settings.
Moguilner Sebastian et al. Journal of neural engineering 2022

A Smartwatch Step-Counting App for Older Adults: Development and Evaluation Study.
Boateng George et al. JMIR aging 2022 5(3) e33845

Digital innovations for retinal care in diabetic retinopathy.
Vujosevic Stela et al. Acta diabetologica 2022

Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.
Bressem Keno K et al. Radiology 2022 212526

General Practice

Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: A Randomized Comparative Effectiveness Trial.
Piette John D et al. JAMA internal medicine 2022

Opportunities in digital health and electronic health records for acute kidney injury care.
Selby Nicholas M et al. Current opinion in critical care 2022

Erroneous data: The Achilles' heel of AI and personalized medicine.
Kristiansen Thomas Birk et al. Frontiers in digital health 2022 4862095

On-Field Deployment and Validation for Wearable Devices.
Kuo Calvin et al. Annals of biomedical engineering 2022

Hotspot Mining in the Field of Library and Information Science under the Environment of Big Data.
Jiang Shujie et al. Journal of environmental and public health 2022 20222802835

An intelligent prediagnosis system for disease prediction and examination recommendation based on electronic medical record and a medical-semantic-aware convolution neural network (MSCNN) for pediatric chronic cough.
Zhu Zhu et al. Translational pediatrics 2022 11(7) 1216-1233

Causal machine learning for healthcare and precision medicine.
Sanchez Pedro et al. Royal Society open science 2022 9(8) 220638

Using Machine Learning Techniques to Predict Hospital Admission at the Emergency Department.
Feretzakis Georgios et al. Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) 2022 8(2) 107-116

A Clinical Framework for Evaluating Machine Learning Studies.
Ghazi Lama et al. JACC. Heart failure 2022

DLKN-MLC: A Disease Prediction Model via Multi-Label Learning.
Li Bocheng et al. International journal of environmental research and public health 2022 19(15)

Public's Mental Health Monitoring via Sentimental Analysis of Financial Text Using Machine Learning Techniques.
Alanazi Saad Awadh et al. International journal of environmental research and public health 2022 19(15)

Assessment of Physical Fitness and Health Status of Athletes Based on Intelligent Medical Treatment under Machine Learning.
Tong Yunlong et al. Computational intelligence and neuroscience 2022 20229687496

Application of Artificial Intelligence in Shared Decision Making: Scoping Review.
Abbasgholizadeh Rahimi Samira et al. JMIR medical informatics 2022 10(8) e36199

Heart, Lung, Blood and Sleep Diseases

Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction.
Abedi Vida et al. Frontiers in neurology 2022 13984467

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging.
Wellnhofer Ernst et al. Frontiers in cardiovascular medicine 2022 9890809

Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT.
Hempel H L et al. European journal of radiology open 2022 9100435

Identifying novel subgroups in heart failure patients with unsupervised machine learning: A scoping review.
Sun Jin et al. Frontiers in cardiovascular medicine 2022 9895836

Use of digital health applications for the detection of atrial fibrillation.
Lawin Dennis et al. Herzschrittmachertherapie & Elektrophysiologie 2022

ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches.
Rahman Atta-Ur et al. Computational intelligence and neuroscience 2022 20226852845

Artificial intelligence applications in cardio-oncology: Leveraging high dimensional cardiovascular data.
Chen Haidee et al. Frontiers in cardiovascular medicine 2022 9941148

A machine learning model for non-invasive detection of atherosclerotic coronary artery aneurysm.
Rostam-Alilou Ali A et al. International journal of computer assisted radiology and surgery 2022

Monitoring Pulse Rate in the Background using Front Facing Cameras of Mobile Devices.
Savur Celal et al. IEEE journal of biomedical and health informatics 2022 PP

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.
Li Jili et al. Journal of medical Internet research 2022 24(8) e38082

Infectious Diseases

Detection of Pneumonia Infection by Using Deep Learning on a Mobile Platform.
Lamia Alhazmi et al. Computational intelligence and neuroscience 2022 20227925668

Deep Learning-Based Automatic Assessment of Lung Impairment in COVID-19 Pneumonia: Predicting Markers of Hypoxia With Computer Vision.
Statsenko Yauhen et al. Frontiers in medicine 2022 9882190

Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19.
Matsunaga Nobuaki et al. Infectious Disease Modelling 2022

Prediction models for carbapenem-resistant Enterobacterales carriage at liver transplantation: A multicenter retrospective study.
Freire Maristela Pinheiro et al. Transplant infectious disease : an official journal of the Transplantation Society 2022 e13920

Spatio-temporal variation of Covid-19 health outcomes in India using deep learning based models.
Middya Asif Iqbal et al. Technological forecasting and social change 2022 183121911

Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs.
Matsumoto Toshimasa et al. Journal of digital imaging 2022

Medication


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