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
From Heart Murmur to Echocardiography - Congenital Heart Defects Diagnostics Using Machine-Learning Algorithms.
Begic Edin et al. Psychiatria Danubina 2022 33(Suppl 13) 236-246
Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.
Chang Yun-Woo et al. Journal of breast cancer 2022
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.
Beinecke Jacqueline Michelle et al. Computers in biology and medicine 2022 143105263
Preoperative prediction for lymph node metastasis in early gastric cancer by interpretable machine learning models: A multicenter study.
Zhu Haixing et al. Surgery 2022
Clinical evaluation of two AI models for automated breast cancer plan generation.
Kneepkens Esther et al. Radiation oncology (London, England) 2022 17(1) 25
Lung cancer risk prediction models based on pulmonary nodules: A systematic review.
Wu Zheng et al. Thoracic cancer 2022
Outcome and Biomarker Supervised Deep Learning for Survival Prediction in Two Multicenter Breast Cancer Series.
Bychkov Dmitrii et al. Journal of pathology informatics 2022 139
Development and validation of a deep learning-based algorithm for colonoscopy quality assessment.
Chang Yuan-Yen et al. Surgical endoscopy 2022
Machine learning directed sentinel lymph node biopsy in cutaneous head and neck melanoma.
Oliver Jamie R et al. Head & neck 2022
Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases.
Rompianesi Gianluca et al. World journal of gastroenterology 2022 28(1) 108-122
Deep learning model improves radiologists' performance in detection and classification of breast lesions.
Sun Yingshi et al. Chinese journal of cancer research = Chung-kuo yen cheng yen chiu 2022 33(6) 682-693
Artificial intelligence-assisted mapping of proliferation centers allows the distinction of accelerated phase from large cell transformation in chronic lymphocytic leukemia.
El Hussein Siba et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2022
Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation.
Asbach John C et al. Radiation oncology (London, England) 2022 17(1) 28
Mathematical modeling and machine learning for public health decision-making: the case of breast cancer in Benin.
Agossou Cyrille et al. Mathematical biosciences and engineering : MBE 2022 19(2) 1697-1720
Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.
Sangers Tobias et al. Dermatology (Basel, Switzerland) 2022 1-8
Optimal PET-based radiomic signature construction based on the cross-combination method for predicting the survival of patients with diffuse large B-cell lymphoma.
Jiang Chong et al. European journal of nuclear medicine and molecular imaging 2022
Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia.
Liu Yonghui et al. Computational and mathematical methods in medicine 2022 20225823720
User-Centered Design of A Novel Risk Prediction Behavior Change Tool Augmented With an Artificial Intelligence Engine (MyDiabetesIQ): A Sociotechnical Systems Approach.
Shields Cathy et al. JMIR human factors 2022 9(1) e29973
The Proposition for Bipolar Depression Forecasting Based on Wearable Data Collection.
Llamocca Pavel et al. Frontiers in physiology 2022 12777137
Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images.
Han Jinyoung et al. Scientific reports 2022 12(1) 2232
Diabetes mellitus risk prediction in the presence of class imbalance using flexible machine learning methods.
Sadeghi Somayeh et al. BMC medical informatics and decision making 2022 22(1) 36
Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial.
Rein Michal et al. BMC medicine 2022 20(1) 56
[Ethical, legal and social implications in the use of artificial intelligence-based technologies in surgery : Principles, implementation and importance for the user].
Wilhelm Dirk et al. Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen 2022
An Ethics Checklist for Digital Health Research in Psychiatry: Viewpoint.
Shen Francis X et al. Journal of medical Internet research 2022 24(2) e31146
Perceptions of Artificial Intelligence Integration into Dermatology Clinical Practice: A Cross-Sectional Survey Study.
Wei Chapman et al. Journal of drugs in dermatology : JDD 2022 21(2) 135-140
Artificial Intelligence in the Evaluation of Telemedicine Dermatology Patients.
Majidian Mandy et al. Journal of drugs in dermatology : JDD 2022 21(2) 191-194
Seasonal prediction of daily PM concentrations with interpretable machine learning: a case study of Beijing, China.
Wu Yafei et al. Environmental science and pollution research international 2022
Examination of blood samples using deep learning and mobile microscopy.
Pfeil Juliane et al. BMC bioinformatics 2022 23(1) 65
Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey.
De Simone Belinda et al. World journal of emergency surgery : WJES 2022 17(1) 10
Public health surveillance in the U.S. Department of Veterans Affairs: evaluation of the Praedico surveillance system.
Lucero-Obusan Cynthia et al. BMC public health 2022 22(1) 272
Predicting the Travel Distance of Patients to Access Healthcare Using Deep Neural Networks.
Chen Li-Chin et al. IEEE journal of translational engineering in health and medicine 2022 104900411
Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005-2019.
Zhu Qingyang et al. Environmental health perspectives 2022 130(2) 27004
Digital Health Policy and Programs for Hospital Care in Vietnam: Scoping Review.
Tran Duc Minh et al. Journal of medical Internet research 2022 24(2) e32392
Artificial Intelligence: Review of Current and Future Applications in Medicine.
Thomas L Brannon et al. Federal practitioner : for the health care professionals of the VA, DoD, and PHS 2022 38(11) 527-538
Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study.
van Velzen Laura S et al. The British journal of psychiatry : the journal of mental science 2022 1-9
Prediction Modeling of Mental Well-Being Using Health Behavior Data of College Students.
Rahman Hanif Abdul et al. Research square 2022
Improving Emergency Department Patient-Physician Conversation Through an Artificial Intelligence Symptom-Taking Tool: Mixed Methods Pilot Observational Study.
Scheder-Bieschin Justus et al. JMIR formative research 2022 6(2) e28199
Doctor Ex Machina: A Critical Assessment of the Use of Artificial Intelligence in Health Care.
Svensson Annika M et al. The Journal of medicine and philosophy 2022 47(1) 155-178
Editorial: Artificial Intelligence for Precision Medicine.
Deng Jun et al. Frontiers in artificial intelligence 2022 4834645
Acne detection and severity evaluation with interpretable convolutional neural network models.
Wen Hao et al. Technology and health care : official journal of the European Society for Engineering and Medicine 2022
Analysis of Carotid Ultrasound Screening of High-Risk Groups of Stroke Based on Big Data Technology.
Guo Jiankang et al. Journal of healthcare engineering 2022 20226363691
Evaluation of Cardiac Function of Pregnant Women with High Blood Pressure during Gestation Period and Coupling of Hearts with Peripheral Vessels by Ultrasonic Cardiogram under Artificial Intelligence Algorithm.
Zhang Xia et al. Computational and mathematical methods in medicine 2022 20225019153
Improved stroke care in a primary stroke centre using AI-decision support.
Gunda Bence et al. Cerebrovascular diseases extra 2022
Deep Learning in the Management of Intracranial Aneurysms and Cerebrovascular Diseases: A Review of the Current Literature.
Mensah Emmanuel et al. World neurosurgery 2022
Artificial intelligence for the detection, prediction, and management of atrial fibrillation.
Isaksen Jonas L et al. Herzschrittmachertherapie & Elektrophysiologie 2022
Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.
Maharjan Jenish et al. Frontiers in neurology 2022 12784250
Early Identification of Maternal Cardiovascular Risk Through Sourcing and Preparing Electronic Health Record Data: Machine Learning Study.
Shara Nawar et al. JMIR medical informatics 2022 10(2) e34932
Detecting obstructive sleep apnea by craniofacial image-based deep learning.
He Shuai et al. Sleep & breathing = Schlaf & Atmung 2022
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Sundaresan Vaanathi et al. Frontiers in neuroinformatics 2022 15777828
Editorial Comment: Focus on the Global Burden of IHD from big data to precision public health.
Prasad D S et al. European journal of preventive cardiology 2022
Intelligent Algorithm-Based Quantitative Electroencephalography in Evaluating Cerebral Small Vessel Disease Complicated by Cognitive Impairment.
Zhu Hengya et al. Computational and mathematical methods in medicine 2022 20229398551
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging.
Bridge Christopher P et al. Scientific reports 2022 12(1) 2154
Nudging within learning health systems: next generation decision support to improve cardiovascular care.
Chen Yang et al. European heart journal 2022
Investigations on coronary artery plaque detection and subclassification using machine learning classifier.
Indumathy D et al. Journal of X-ray science and technology 2022
Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.
González-Juanatey Carlos et al. PloS one 2022 17(2) e0263277
Decision Support Systems in HF based on Deep Learning Technologies.
Penso Marco et al. Current heart failure reports 2022
Deep Convolutional Neural Networks Implementation for the Analysis of Urine Culture.
Alouani David J et al. Clinical chemistry 2022
Machine learning approaches to investigate Clostridioides difficile infection and outcomes: A systematic review.
Chen Yujie et al. International journal of medical informatics 2022 160104706
Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).
Zhang Luming et al. BMC emergency medicine 2022 22(1) 26
Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.
Lv Yi et al. Computational and mathematical methods in medicine 2022 20228158634
Prediction of Tuberculosis Using an Automated Machine Learning Platform for Models Trained on Synthetic Data.
Rashidi Hooman H et al. Journal of pathology informatics 2022 1310
Digital auscultation as a novel childhood pneumonia diagnostic tool for community clinics in Sylhet, Bangladesh: protocol for a cross-sectional study.
Ahmed Salahuddin et al. BMJ open 2022 12(2) e059630
Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes.
Kheirandish Maryam et al. Journal of the American Medical Informatics Association : JAMIA 2022
Population-centric Risk Prediction Modeling for Gestational Diabetes Mellitus: A Machine Learning Approach.
Kumar Mukkesh et al. Diabetes research and clinical practice 2022 109237
No sonographer, no radiologist: New system for automatic prenatal detection of fetal biometry, fetal presentation, and placental location.
Arroyo Junior et al. PloS one 2022 17(2) e0262107
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 21, 2024
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