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
Automated identification of abnormal infant movements from smart phone videos.
E Passmore et al. PLOS Digit Health 2024 3(2) e0000432
Early childhood caries detection using smartphone artificial intelligence.
E Veseli et al. Eur Arch Paediatr Dent 2024
Commentary: An artificial intelligence prediction model outperforms conventional guidelines in predicting lymph node metastasis of T1 colorectal cancer.
Katsuro Ichimasa et al. Front Oncol 2024 141337576
Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence.
Pablo Martínez-Blanco et al. Diagnostics (Basel) 2024 14(4)
Deep learning performance on MRI prostate gland segmentation: evaluation of two commercially available algorithms compared with an expert radiologist.
Erik Thimansson et al. J Med Imaging (Bellingham) 2024 11(1) 015002
Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
S Yichu et al. Clin Radiol 2024
Clinical Evaluation of Deep Learning for Tumor Delineation on F-FDG PET/CT of Head and Neck Cancer.
David G Kovacs et al. J Nucl Med 2024
Daily AI-Based Treatment Adaptation under Weekly Offline MR Guidance in Chemoradiotherapy for Cervical Cancer 1: The AIM-C1 Trial.
Fabian Weykamp et al. J Clin Med 2024 13(4)
Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research.
Julien Guérin et al. Int J Environ Res Public Health 2024 21(2)
Highly accurate and effective deep neural networks in pathological diagnosis of prostate cancer.
Chengwei Zhang et al. World J Urol 2024 42(1) 93
UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120).
Gaëlle Margue et al. NPJ Precis Oncol 2024 8(1) 45
Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study.
Kunyuan Wang et al. BMC Cancer 2024 24(1) 246
Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race.
Galvin Khara et al. Commun Med (Lond) 2024 4(1) 21
Identification of amnestic mild cognitive impairment by structural and functional MRI using a machine-learning approach.
Hyunyoung Hwang et al. Clin Neurol Neurosurg 2024 238108177
Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.
Fernando Korn Malerbi et al. J Diabetes Sci Technol 2024 19322968241234378
Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.
Fang Dai et al. Oral Radiol 2024
Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson's Disease through Artificial Intelligence: A Systematic Review.
Cinzia Palmirotta et al. Brain Sci 2024 14(2)
Predictive deep learning models for cognitive risk using accessible data.
Kenji Karako et al. Biosci Trends 2024
Ranking and filtering of neuropathology features in the machine learning evaluation of dementia studies.
Mohammed D Rajab et al. Brain Pathol 2024 e13247
The Urgent Need for Health Data Justice in Precision Medicine.
James Shaw et al. Am J Bioeth 2024 24(3) 101-103
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review.
Ciro Mennella et al. Heliyon 2024 10(4) e26297
Are mHealth Interventions Effective in Improving the Uptake of Sexual and Reproductive Health Services among Adolescents? A Scoping Review.
Nazeema Isaacs et al. Int J Environ Res Public Health 2024 21(2)
Artificial intelligence for radiographic imaging detection of caries lesions: a systematic review.
Domenico Albano et al. BMC Oral Health 2024 24(1) 274
Patient Safety and Artificial Intelligence in Clinical Care.
Raj M Ratwani et al. JAMA Health Forum 2024 5(2) e235514
Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework.
Alessandro Carrera et al. BMC Health Serv Res 2024 24(1) 237
Improving Access to Eye Care Through Community Health Screenings Using Artificial Intelligence.
Bhakti Panchal et al. Ophthalmic Epidemiol 2024 1-3
U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging.
Elisabeth R M Heremans et al. Comput Biol Med 2024 171108205
The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities.
Thomas A Pearson et al. JACC Adv 2024 3(1)
Development of a Machine Learning Modelling Tool for Predicting HIV Incidence Using Public Health Data from a County in the Southern United States.
Carlos S Saldana et al. Clin Infect Dis 2024
Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology.
Marta Brandão et al. J Clin Med 2024 13(4)
Current Updates on Involvement of Artificial Intelligence and Machine Learning in Semen Analysis.
Manesh Kumar Panner Selvam et al. Medicina (Kaunas) 2024 60(2)
Artificial Intelligence in Obstetric Anomaly Scan: Heart and Brain.
Iuliana-Alina Enache et al. Life (Basel) 2024 14(2)
Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods.
Chen Wang et al. Fertil Steril 2024
Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial.
Norawit Kijpaisalratana et al. Intern Emerg Med 2024
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
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