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 deep learning in the MRI diagnosis of Chiari malformation type I.
Tanaka Kaishin W et al. Neuroradiology 2022
Evaluation of the post-processing algorithms SimGrid and S-Enhance for paediatric intensive care patients and neonates.
Krueger Paul-Christian et al. Pediatric radiology 2022
Design and Development of an Intelligent Clinical Decision Support System Applied to the Evaluation of Breast Cancer Risk.
Casal-Guisande Manuel et al. Journal of personalized medicine 2022 12(2)
Smartphone-Based Visual Inspection with Acetic Acid: An Innovative Tool to Improve Cervical Cancer Screening in Low-Resource Setting.
Sami Jana et al. Healthcare (Basel, Switzerland) 2022 10(2)
Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
Liu Wenfei et al. Cancer medicine 2022
Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction.
Hao Degan et al. Frontiers in oncology 2022 11725889
Deep learning and colon capsule endoscopy: automatic detection of blood and colonic mucosal lesions using a convolutional neural network.
Mascarenhas Miguel et al. Endoscopy international open 2022 10(2) E171-E177
A Novel Artificial Intelligence-Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.
Huang Wei et al. JCO clinical cancer informatics 2022 6e2100131
Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy.
Chamseddine Ibrahim et al. JCO clinical cancer informatics 2022 6e2100169
Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning-derived body composition analysis.
Massaad Elie et al. Journal of neurosurgery. Spine 2022 1-11
Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction.
Müller-Franzes Gustav et al. Diagnostics (Basel, Switzerland) 2022 12(2)
Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms - a single-center, paralleled, unmasked, randomized controlled trial.
Han Seung Seog et al. The Journal of investigative dermatology 2022
Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis.
Yu Haohui et al. BMC cancer 2022 22(1) 210
Prediction of lymph node metastasis in early colorectal cancer based on histologic images by artificial intelligence.
Takamatsu Manabu et al. Scientific reports 2022 12(1) 2963
Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset.
El Agouri H et al. BMC research notes 2022 15(1) 66
Development of High-Resolution Dedicated PET-Based Radiomics Machine Learning Model to Predict Axillary Lymph Node Status in Early-Stage Breast Cancer.
Cheng Jingyi et al. Cancers 2022 14(4)
Intelligent Diagnostic Prediction and Classification Models for Detection of Kidney Disease.
Poonia Ramesh Chandra et al. Healthcare (Basel, Switzerland) 2022 10(2)
Artificial Intelligence for Glaucoma: Creating and Implementing AI for Disease Detection and Progression.
Al-Aswad Lama A et al. Ophthalmology. Glaucoma 2022
Development and validation of a deep neural network-based model to predict acute kidney injury following intravenous administration of iodinated contrast media in hospitalized patients with chronic kidney disease: a multicohort analysis.
Yan Ping et al. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 2022
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging.
Saboo Krishnakant V et al. NeuroImage 2022 119020
Frailty Identification using Heart Rate Dynamics: A Deep Learning Approach.
Eskandari-Nojehdehi Maryam et al. IEEE journal of biomedical and health informatics 2022 PP
Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: A systematic review and meta-analysis.
Bedrikovetski Sergei et al. European journal of radiology 2022 149110218
Evaluations of Deep Learning Approaches for Glaucoma Screening Using Retinal Images from Mobile Device.
Neto Alexandre et al. Sensors (Basel, Switzerland) 2022 22(4)
Role of artificial intelligence in the diagnosis and management of kidney disease: applications to chronic kidney disease and acute kidney injury.
Tangri Navdeep et al. Current opinion in nephrology and hypertension 2022
A deep learning model for screening type 2 diabetes from retinal photographs.
Yun Jae-Seung et al. Nutrition, metabolism, and cardiovascular diseases : NMCD 2022
The Road to Personalized Medicine in Alzheimer's Disease: The Use of Artificial Intelligence.
Silva-Spínola Anuschka et al. Biomedicines 2022 10(2)
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development.
Hood Donald C et al. Progress in retinal and eye research 2022 101052
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
Sarvestany Soren Sabet et al. The Lancet. Digital health 2022 4(3) e188-e199
Cost-effectiveness of artificial intelligence screening for diabetic retinopathy in rural China.
Huang Xiao-Mei et al. BMC health services research 2022 22(1) 260
Systemic Periodontal Risk Score Using an Innovative Machine Learning Strategy: An Observational Study.
Monsarrat Paul et al. Journal of personalized medicine 2022 12(2)
Quantification Analysis of Sleep Based on Smartwatch Sensors for Parkinson's Disease.
Ko Yi-Feng et al. Biosensors 2022 12(2)
Identification of Prediabetes Discussions in Unstructured Clinical Documentation: Validation of a Natural Language Processing Algorithm.
Schwartz Jessica L et al. JMIR medical informatics 2022 10(2) e29803
Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network.
A Ahila et al. Frontiers in public health 2022 10834032
Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter.
van de Sande Davy et al. BMJ health & care informatics 2022 29(1)
Use of a community advisory board to build equitable algorithms for participation in clinical trials: a protocol paper for HoPeNET.
Farmer Nicole et al. BMJ health & care informatics 2022 29(1)
Defining AMIA's artificial intelligence principles.
Solomonides Anthony E et al. Journal of the American Medical Informatics Association : JAMIA 2022
Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort.
Kim Eun Young et al. PloS one 2022 17(2) e0264383
Understanding deep learning - challenges and prospects.
Adnan Niha et al. JPMA. The Journal of the Pakistan Medical Association 2022 72(Suppl 1)(2) S59-S63
Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review.
Siouras Athanasios et al. Diagnostics (Basel, Switzerland) 2022 12(2)
Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities.
Montezuma Diana et al. Diagnostics (Basel, Switzerland) 2022 12(2)
Non-radiologist perception of the use of artificial intelligence (AI) in diagnostic medical imaging reports.
Lim Sophie Soyeon et al. Journal of medical imaging and radiation oncology 2022
Editorial for the special issue on "Transforming public health through artificial intelligence, machine learning and internet of things".
Tsai Sang-Bing et al. Socio-economic planning sciences 2022 101267
[New definition of precision nutrition: concept and implementation].
Liu Y et al. Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] 2022 56(2) 151-153
Accurate identification of EEG recordings with interictal epileptiform discharges using a hybrid approach: Artificial intelligence supervised by human experts.
Kural Mustafa Aykut et al. Epilepsia 2022
Smart Speakers: The Next Frontier in mHealth.
Sunshine Jacob et al. JMIR mHealth and uHealth 2022 10(2) e28686
Real-time data analysis in health monitoring systems: A comprehensive systematic literature review.
Paganelli Antonio Iyda et al. Journal of biomedical informatics 2022 127104009
Translating promise into practice: a review of machine learning in suicide research and prevention.
Kirtley Olivia J et al. The lancet. Psychiatry 2022 9(3) 243-252
Intelligent Clinical Decision Support.
Pinsky Michael R et al. Sensors (Basel, Switzerland) 2022 22(4)
Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction.
Gazzotti Raphaël et al. Journal of biomedical semantics 2022 13(1) 6
A proof-of-concept study on mortality prediction with machine learning algorithms using burn intensive care data.
Fransén Jian et al. Scars, burns & healing 2022 820595131211066585
Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.
Sun Jiaxing et al. European radiology 2022
Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients.
Danala Gopichandh et al. Journal of X-ray science and technology 2022
Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction.
Xiao Changhu et al. Journal of cardiovascular development and disease 2022 9(2)
A gold nanowire-integrated soft wearable system for dynamic continuous non-invasive cardiac monitoring.
Gong Shu et al. Biosensors & bioelectronics 2022 205114072
A Predictive Analysis of Heart Rates Using Machine Learning Techniques.
Oyeleye Matthew et al. International journal of environmental research and public health 2022 19(4)
Evaluation of Machine Learning Techniques to Predict the Likelihood of Mental Health Conditions Following a First mTBI.
Dabek Filip et al. Frontiers in neurology 2022 12769819
[Development of the DSA Method for Coronary Angiography Using Deep Learning Techniques].
Yamamoto Megumi et al. Nihon Hoshasen Gijutsu Gakkai zasshi 2022 78(2) 129-139
AI Evaluation of Stenosis on Coronary CT Angiography, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A CREDENCE Trial Substudy.
Griffin William F et al. JACC. Cardiovascular imaging 2022
Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders.
Chang Chiao-Hsiang et al. Frontiers in cardiovascular medicine 2022 9754909
Artificial Intelligence-Enabled Electrocardiogram Estimates Left Atrium Enlargement as a Predictor of Future Cardiovascular Disease.
Lou Yu-Sheng et al. Journal of personalized medicine 2022 12(2)
Deep Learning Application to Clinical Decision Support System in Sleep Stage Classification.
Kim Dongyoung et al. Journal of personalized medicine 2022 12(2)
Machine Learning to Assess for Acute Myocardial Infarction within 30 Minutes.
McCord James et al. Critical pathways in cardiology 2022
Acoustic Screening for Obstructive Sleep Apnea in Home Environments Based on Deep Neural Networks.
Romero Hector E et al. IEEE journal of biomedical and health informatics 2022 PP
Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
Zeng Siyang et al. JMIR medical informatics 2022 10(2) e33043
MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease.
Uegami Wataru et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2022
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning.
Duffy Grant et al. JAMA cardiology 2022
AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph.
Zhuang Yan et al. Biomolecules 2022 12(2)
Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV.
Dickerman Barbra A et al. European journal of epidemiology 2022
Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children.
McLaughlin Megan et al. Frontiers in artificial intelligence 2022 4554017
Transportability and Implementation Challenges of Early Warning Scores for Septic Shock in the ICU: A Perspective on the TREWScore.
Niemantsverdriet Michael S A et al. Frontiers in medicine 2022 8793815
Novel machine learning models outperform risk scores in predicting hepatocellular carcinoma in patients with chronic viral hepatitis.
Wong Grace Lai-Hung et al. JHEP reports : innovation in hepatology 2022 4(3) 100441
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:Mar 28, 2024
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