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
Deep Learning Analysis for Predicting Tumor Spread through Air Space in Early-Stage Lung Adenocarcinoma Pathology Images.
De-Xiang Ou et al. Cancers (Basel) 2024 16(11)
Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature.
Deeksha Bhalla et al. Indian J Radiol Imaging 2024 34(3) 469-487
Evaluating the Efficacy and Accuracy of AI-Assisted Diagnostic Techniques in Endometrial Carcinoma: A Systematic Review.
Jawaria Changhez et al. Cureus 2024 16(5) e60973
Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.
Mariia Ivanova et al. Cancers (Basel) 2024 16(11)
Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model.
Dong-Yue Wen et al. Biomed Eng Online 2024 23(1) 56
A more objective PD diagnostic model: integrating texture feature markers of cerebellar gray matter and white matter through machine learning.
Yini Chen et al. Front Aging Neurosci 2024 161393841
An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm.
Babita Majhi et al. BMC Med Imaging 2024 24(1) 156
Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis.
Samantha Noteboom et al. J Neurol 2024
Intelligent deep model based on convolutional neural network's and multi-layer perceptron to classify cardiac abnormality in diabetic patients.
Monika Saraswat et al. Phys Eng Sci Med 2024
Using machine learning algorithms to detect fear of falling in people with multiple sclerosis in standardized gait analysis.
Paula Schumann et al. Mult Scler Relat Disord 2024 88105721
Ethical Complexities in Utilizing Artificial Intelligence for Surrogate Decision Making.
Jennifer Blumenthal-Barby et al. Am J Bioeth 2024 24(7) 1-2
Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care.
Barry Solaiman et al. J Am Med Dir Assoc 2024 105105
Racism is an ethical issue for healthcare artificial intelligence.
Kadija Ferryman et al. Cell Rep Med 2024 5(6) 101617
Validation of artificial intelligence for epileptic seizure detection: Moving from research into the clinic.
Jonathan Dan et al. Dev Med Child Neurol 2024
Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach.
Siyuan Huang et al. Subst Use Misuse 2024 1-9
Clinical Applications of Machine Learning.
Nadayca Mateussi et al. Ann Surg Open 2024 5(2) e423
Diagnostic test accuracy of externally validated convolutional neural network (CNN) artificial intelligence (AI) models for emergency head CT scans - A systematic review.
Saana M Mäenpää et al. Int J Med Inform 2024 189105523
A machine learning-derived risk score to predict left ventricular diastolic dysfunction from clinical cardiovascular magnetic resonance imaging.
Qingtao Zhou et al. Front Cardiovasc Med 2024 111382418
OSApredictor: A tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics.
Amlan Talukder et al. Comput Biol Med 2024 178108777
Risk factors analysis and prediction model construction for severe pneumonia in older adult patients.
Ming-Li Liu et al. Front Public Health 2024 121399470
An explainable machine learning-based model to predict intensive care unit admission among patients with community-acquired pneumonia and connective tissue disease.
Dong Huang et al. Respir Res 2024 25(1) 246
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
- Content source: