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
Use of Oculomotor Behavior to Classify Children with Autism and Typical Development: A Novel Implementation of the Machine Learning Approach.
Zhao Zhong et al. Journal of autism and developmental disorders 2022
Identification of misdiagnosis by deep neural networks on a histopathologic review of breast cancer lymph node metastases.
Chen Cancan et al. Scientific reports 2022 12(1) 13482
Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges.
Zhou Xiaowen et al. Frontiers in oncology 2022 12908873
Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics.
Keek Simon A et al. Frontiers in oncology 2022 12920393
Subtyping and grading of lower-grade gliomas using integrated feature selection and support vector machine.
Munquad Sana et al. Briefings in functional genomics 2022
Developing breast lesion detection algorithms for Digital Breast Tomosynthesis: Leveraging false positive findings.
Hossain Md Belayat et al. Medical physics 2022
Current Applications of Artificial Intelligence in Benign Prostatic Hyperplasia.
Shah Milap et al. Turkish journal of urology 2022 48(4) 262-267
CT radiomics identifying non-responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer.
Zhang Zinan et al. Cancer medicine 2022
Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study.
Li Jushuang et al. Nutrition & diabetes 2022 12(1) 36
Development and Validation of a Machine Learning-Based Nomogram for Prediction of Ankylosing Spondylitis.
Zhu Jichong et al. Rheumatology and therapy 2022
Investigating the power of eyes open resting state EEG for assisting in dementia diagnosis.
Jennings Jack L et al. Alzheimer's research & therapy 2022 14(1) 109
Automatic user sentiments extraction from diabetes mobile apps - An evaluation of reviews with machine learning.
Ossai Chinedu I et al. Informatics for health & social care 2022 1-20
An interpretable neural network for outcome prediction in traumatic brain injury.
Minoccheri Cristian et al. BMC medical informatics and decision making 2022 22(1) 203
A Study of Dementia Prediction Models Based on Machine Learning with Survey Data of Community-Dwelling Elderly People in China.
Xu Qing et al. Journal of Alzheimer's disease : JAD 2022
Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study.
Young Alexander S et al. JMIR research protocols 2022 11(8) e39010
Machine Learning-Based Prediction Models for Delirium: A Systematic Review and Meta-Analysis.
Xie Qi et al. Journal of the American Medical Directors Association 2022
Real-world implementation of an eHealth system based on an artificial intelligence designed to predict and reduce emergency department visits by older adults: pragmatic trial.
Belmin Joël et al. Journal of medical Internet research 2022
Clinical trial designs for artificial intelligence in gastrointestinal endoscopy.
Mori Yuichi et al. The lancet. Gastroenterology & hepatology 2022 7(9) 785-786
Answering hospital caregivers' questions at any time: proof of concept of an artificial intelligence-based chatbot in a French hospital.
Daniel Thomas et al. JMIR human factors 2022
Major areas of interest of artificial intelligence research applied to health care administrative data: a scoping review.
Bukhtiyarova Olga et al. Frontiers in pharmacology 2022 13944516
Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?
Daye Dania et al. Radiology 2022 212151
Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors.
Magal Noa et al. Chronic stress (Thousand Oaks, Calif.) 2022 624705470221100987
The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study.
Faqar-Uz-Zaman Sara F et al. Annals of surgery 2022
Artificial intelligence in the clinical setting: Towards actual implementation of reliable outcome predictions.
Vistisen Simon Tilma et al. European journal of anaesthesiology 2022 39(9) 729-732
Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries.
Tachkov Konstantin et al. Frontiers in public health 2022 10921226
Applications of artificial intelligence for patients with peripheral artery disease.
Lareyre Fabien et al. Journal of vascular surgery 2022
Machine learning models of clinically relevant biomarkers for the prediction of stable obstructive coronary artery disease.
Kim Juntae et al. Frontiers in cardiovascular medicine 2022 9933803
Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke.
Lai Yu-Liang et al. Medical & biological engineering & computing 2022
Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions.
Wong Dragon Y L et al. Current opinion in ophthalmology 2022 33(5) 440-446
Quality of reporting in AI cardiac MRI segmentation studies - A systematic review and recommendations for future studies.
Alabed Samer et al. Frontiers in cardiovascular medicine 2022 9956811
Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study.
Hiraoka Daisuke et al. JMIR formative research 2022 6(8) e35396
Development of a Prediction Model for Antibiotic-Resistant Urinary Tract Infections Using Integrated Electronic Health Records from Multiple Clinics in North-Central Florida.
Rich Shannan N et al. Infectious diseases and therapy 2022
Deep learning for topical trend discovery in online discourse about Pre-Exposure Prophylaxis (PrEP).
Edinger Andy et al. AIDS and behavior 2022
Symptom-Based COVID-19 Prognosis through AI-Based IoT: A Bioinformatics Approach.
Pal Madhumita et al. BioMed research international 2022 20223113119
Clinical use of artificial intelligence in endometriosis: a scoping review.
Sivajohan Brintha et al. NPJ digital medicine 2022 5(1) 109
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation.
Ng Ada et al. JMIR mHealth and uHealth 2022 10(8) e33850
Supporting first FSH dosage for ovarian stimulation with machine learning.
Correa Nuria et al. Reproductive biomedicine online 2022
A systematic review on the use of artificial intelligence in gynecologic imaging - Background, state of the art, and future directions.
Shrestha Pallabi et al. Gynecologic oncology 2022
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
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