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
Non-Genomics Precision Health Scan
Prediction Models for Intrauterine Growth Restriction Using Artificial Intelligence and Machine Learning: A Systematic Review and Meta-Analysis.
Riccardo Rescinito et al. Healthcare (Basel) 2023 11(11)
The promises and challenges of clinical AI in community paediatric medicine.
Devin Singh et al. Paediatr Child Health 2023 28(4) 212-217
AI aided workflow for hip dysplasia screening using ultrasound in primary care clinics.
Jacob L Jaremko et al. Sci Rep 2023 13(1) 9224
Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
Dongmei Lu et al. J Cancer Res Clin Oncol 2023
Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.
Shuo Duan et al. Eur J Radiol 2023 165110899
Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews.
Antti A Mäkitie et al. Adv Ther 2023
Human-like artificial intelligent system for predicting invasion depth of esophageal squamous cell carcinoma using magnifying narrow-band imaging endoscopy: a retrospective, multi-center study.
Lihui Zhang et al. Clin Transl Gastroenterol 2023
The use of artificial intelligence to identify subjects with a positive FOBT predicted to be non-compliant with both colonoscopy and harbor cancer.
Tom Konikoff et al. Dig Liver Dis 2023
Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study.
Vignesh A Arasu et al. Radiology 2023 307(5) e222733
A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.
Jin Luo et al. J Cancer Res Clin Oncol 2023
Evaluation of an Artificial Intelligence System for Detection of Invasive Lobular Carcinoma on Digital Mammography.
Sylvia Arce et al. Cureus 2023 15(5) e38770
Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study.
Binxu Qiu et al. Front Oncol 2023 131183072
The current state of artificial intelligence in endoscopic diagnosis of early esophageal squamous cell carcinoma.
Yuwei Pan et al. Front Oncol 2023 131198941
Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosis.
Maryam Tayyab et al. Front Neurol 2023 141165267
Longitudinal Studies of Wearables in Patients with Diabetes: Key Issues and Solutions.
Ahmad Yaser Alhaddad et al. Sensors (Basel) 2023 23(11)
Prediction of Diabetic Macular Edema Using Knowledge Graph.
Zhi-Qing Li et al. Diagnostics (Basel) 2023 13(11)
Accuracy of Artificial Intelligence in Estimating Best-Corrected Visual Acuity From Fundus Photographs in Eyes With Diabetic Macular Edema.
William Paul et al. JAMA Ophthalmol 2023
Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus Among Women Population.
Ali Mamoon Alfalki et al. Curr Diabetes Rev 2023
Development of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients.
Davide Placido et al. PLOS Digit Health 2023 2(6) e0000116
Evaluating Artificial Intelligence Responses to Public Health Questions.
John W Ayers et al. JAMA Netw Open 2023 6(6) e2317517
A Precision Treatment Model for Internet-Delivered Cognitive Behavioral Therapy for Anxiety and Depression Among University Students: A Secondary Analysis of a Randomized Clinical Trial.
Corina Benjet et al. JAMA Psychiatry 2023
Development of a Predictive Model for Hospital-Acquired Pressure Injuries.
Sophie Pouzols et al. Comput Inform Nurs 2023
The Advent of Generative Language Models in Medical Education.
Mert Karabacak et al. JMIR Med Educ 2023 9e48163
Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach.
Xiaoquan Gao et al. BMC Med Inform Decis Mak 2023 23(1) 104
Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis.
Jean-François Etter et al. BMC Public Health 2023 23(1) 1076
Achieving trust in health-behavior-change artificial intelligence apps (HBC-AIApp) development: a multi-perspective guide.
Meira Levy et al. J Biomed Inform 2023 104414
Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study.
Jan Andreas Kloka et al. JMIR Form Res 2023 7e43896
Artificial Intelligence Chatbots in Allergy and Immunology Practice: Where Have We Been and Where Are We Going?
Polat Goktas et al. J Allergy Clin Immunol Pract 2023
Tweeting for Health Using Real-time Mining and Artificial Intelligence-Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter.
Plinio Pelegrini Morita et al. J Med Internet Res 2023 25e44356
Evaluation of Wearable Acoustic Sensors and Machine Learning Algorithms for Automated Measurement of Left Ventricular Ejection Fraction.
Kimberly Howard-Quijano et al. Am J Cardiol 2023 20087-94
Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and machine learning algorithms.
Gregory Yoke Hong Lip et al. Intern Emerg Med 2023 1-11
Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease.
Seong Huan Choi et al. BMC Cardiovasc Disord 2023 23(1) 287
Revolutionizing healthcare: artificial intelligence detection of coronary artery disease paves the way for future tools.
Mauro Massussi et al. J Cardiovasc Med (Hagerstown) 2023 24(7) 467-468
Validation of the commercial coronary computed tomographic angiography artificial intelligence for coronary artery stenosis: a cross-sectional study.
Qi Han et al. Quant Imaging Med Surg 2023 13(6) 3789-3801
Retrospective batch analysis to evaluate the diagnostic accuracy of a clinically deployed AI algorithm for the detection of acute pulmonary embolism on CTPA.
Eline Langius-Wiffen et al. Insights Imaging 2023 14(1) 102
Impact of Regional Mobility on Air Quality during COVID-19 Lockdown in Mississippi, USA Using Machine Learning.
Francis Tuluri et al. Int J Environ Res Public Health 2023 20(11)
Machine learning clinical decision support systems for surveillance: a case study on pertussis and RSV in children.
Kimberly A Mc Cord-De Iaco et al. Front Pediatr 2023 111112074
The role of machine learning in healthcare responses to pandemics: maximizing benefits and filling gaps.
Ahmad Z Al Meslamani et al. J Med Econ 2023 1-6
The role of artificial intelligence in hypertensive disorders of pregnancy: towards personalized healthcare.
Mohanad Alkhodari et al. Expert Rev Cardiovasc Ther 2023
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.
- Page last reviewed:Feb 1, 2024
- Page last updated:Apr 25, 2024
- Content source: