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
Feasibility and Impact of Integrating an Artificial Intelligence-Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study.
Sohl Kristin et al. JMIR research protocols 2022 11(7) e37576
Outcome prediction in newborn infants: Past, present, and future.
Shukla Vivek V et al. Seminars in perinatology 2022 151641
Artificial intelligence-assisted colonoscopy for colorectal cancer screening: a multicenter randomized controlled trial.
Xu Hong et al. Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 2022
Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites.
Shao Jun et al. Frontiers in bioscience (Landmark edition) 2022 27(7) 212
The Usefulness of Machine Learning-Based Evaluation of Clinical and Pretreatment [F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer.
Nakajo Masatoyo et al. Molecular imaging and biology 2022
Breast Cancer Detection and Classification Empowered With Transfer Learning.
Arooj Sahar et al. Frontiers in public health 2022 10924432
A novel analytical framework for risk stratification of real-world data using machine learning: a small cell lung cancer (SCLC) study.
Marzano Luca et al. Clinical and translational science 2022
The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer's disease and estimate 5-year risks of cognitive decline and dementia.
Alty Jane et al. BMC neurology 2022 22(1) 266
Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.
Momtazmanesh Sara et al. Rheumatology and therapy 2022
Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes.
Zueger Thomas et al. Diabetes technology & therapeutics 2022
New Diagnostic Model for the Differentiation of Diabetic Nephropathy From Non-Diabetic Nephropathy in Chinese Patients.
Zhang WeiGuang et al. Frontiers in endocrinology 2022 13913021
Measurement of neurodegeneration using a multivariate early frame amyloid PET classifier.
Matthews Dawn C et al. Alzheimer's & dementia (New York, N. Y.) 2022 8(1) e12325
High accuracy in classifying endoscopic severity in ulcerative colitis using convolutional neural network.
Lo Bobby et al. The American journal of gastroenterology 2022
Establishment and Evaluation of Artificial Intelligence-Based Prediction Models for Chronic Kidney Disease under the Background of Big Data.
Yan Xiaoqian et al. Evidence-based complementary and alternative medicine : eCAM 2022 20226561721
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study.
Svoboda E et al. Computers in biology and medicine 2022 148105853
Machine Learning-Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease.
Bae Sunjae et al. Hypertension (Dallas, Tex. : 1979) 2022 101161YPERTENSIONAHA12118794
Predicting osteoarthritis in adults using statistical data mining and machine learning.
Bertoncelli Carlo M et al. Therapeutic advances in musculoskeletal disease 2022 141759720X221104935
Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital.
Liu Rui et al. Biomedical engineering online 2022 21(1) 47
Development and Validation of Prediction Models of Adverse Kidney Outcomes in the Population With and Without Diabetes Mellitus.
Grams Morgan E et al. Diabetes care 2022
Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review.
Tsichlaki Stella et al. JMIR diabetes 2022 7(3) e34699
Clinical application and diagnostic accuracy of artificial intelligence in colonoscopy for inflammatory bowel disease: systematic review.
Yang Linda S et al. Endoscopy international open 2022 10(7) E1004-E1013
A Privacy-Preserved Transfer Learning Concept to Predict Diabetic Kidney Disease at Out-of-Network Siloed Sites Using an In-Network Federated Model on Real-World Data.
Islam Humayera et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2022264-273
Research on Legal Constraints of Individual Environmental Data Rights and Interests in Big Data Environment.
Xiao Yineng et al. Journal of environmental and public health 2022 20224493267
Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews.
Raclin Tyler et al. JMIR research protocols 2022 11(7) e36395
Performance Evaluation of the Deep Learning Based Convolutional Neural Network Approach for the Recognition of Chest X-Ray Images.
Sharma Sandhya et al. Frontiers in oncology 2022 12932496
Convolutional neural networks in spinal magnetic resonance imaging: A systematic review.
Baur David et al. World neurosurgery 2022
Determining the effective factors in predicting diet adherence using an intelligent model.
Mousavi Hediye et al. Scientific reports 2022 12(1) 12340
AI for predicting chemical-effect associations at the chemical universe level-deepFPlearn.
Schor Jana et al. Briefings in bioinformatics 2022
Psychosocial markers of age at onset in bipolar disorder: a machine learning approach.
Bolton Sorcha et al. BJPsych open 2022 8(4) e133
Deep Learning and Imaging for the Orthopaedic Surgeon: How Machines "Read" Radiographs.
Hill Brandon G et al. The Journal of bone and joint surgery. American volume 2022
Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.
Henry Katharine E et al. NPJ digital medicine 2022 5(1) 97
Exploring an Artificial Intelligence-Based, Gamified Phone App Prototype to Track and Improve Food Choices of Adolescent Girls in Vietnam: Acceptability, Usability, and Likeability Study.
C Braga Bianca et al. JMIR formative research 2022 6(7) e35197
Analysis on the Key Influence of Adolescent Health Information Literacy Using Big Data Analysis Technology under Social Network Environment.
Huo Mingkui et al. Journal of environmental and public health 2022 20224126217
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.
Brakefield Whitney S et al. JMIR formative research 2022 6(7) e36055
Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study.
Baker William et al. JMIR medical informatics 2022 10(7) e33678
Artificial Intelligence in Anatomical Pathology: Building A Strong Foundation for Precision Medicine.
Meroueh Chady et al. Human pathology 2022
Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making.
Wang Lu et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2022476-485
Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study.
Chen Yu-Ching et al. Frontiers in neurology 2022 13875491
Cerebral Angiography under Artificial Intelligence Algorithm in the Design of Nursing Cooperation Plan for Intracranial Aneurysm Patients in Craniotomy Clipping.
Xu Wenhui et al. Computational and mathematical methods in medicine 2022 20222182931
A Technical Performance Study and Proposed Systematic and Comprehensive Evaluation of an ML-based CDS Solution for Pediatric Asthma.
Overgaard Shauna M et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 202225-35
Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.
Backhaus Sören J et al. Scientific reports 2022 12(1) 12220
Prediction of antimicrobial minimal inhibitory concentrations for Neisseria gonorrhoeae using machine learning models.
Yasir Muhammad et al. Saudi journal of biological sciences 2022 29(5) 3687-3693
Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta-Analysis.
Cao Zuwei et al. The Laryngoscope 2022
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.
Henry Katharine E et al. Nature medicine 2022 28(7) 1447-1454
Diagnostic stewardship for blood cultures in the emergency department: A multicenter validation and prospective evaluation of a machine learning prediction tool.
Schinkel Michiel et al. EBioMedicine 2022 82104176
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.
Adams Roy et al. Nature medicine 2022 28(7) 1455-1460
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis.
Skeen Simone J et al. JMIR human factors 2022 9(3) e37350
Effectiveness of automated alerting system compared to usual care for the management of sepsis.
Zhang Zhongheng et al. NPJ digital medicine 2022 5(1) 101
Smartphone-based artificial intelligence using a transfer learning algorithm for the detection and diagnosis of middle ear diseases: A retrospective deep learning study.
Chen Yen-Chi et al. EClinicalMedicine 2022 51101543
Moving from predicting hospital deaths by antibiotic-resistant bloodstream bacteremia toward actionable risk reduction using machine learning on electronic health records.
Jun Inyoung et al. AMIA ... Annual Symposium proceedings. AMIA Symposium 2022 2022274-283
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The Application of Artificial Intelligence in Predicting Embryo Transfer Outcome of Recurrent Implantation Failure.
Shen Lei et al. Frontiers in physiology 2022 13885661
Technology-Based Approaches for Supporting Perinatal Mental Health.
Novick Andrew M et al. Current psychiatry reports 2022
Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care.
Flaucher Madeleine et al. IEEE journal of translational engineering in health and medicine 2022 102800109
Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia.
Xu Zhixiao et al. Frontiers in bioengineering and biotechnology 2022 10903426
Toward deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via ultrasound images.
Alzubaidi Mahmood et al. iScience 2022 25(8) 104713
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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