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
Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model.
Wang Cheng et al. Journal of neural engineering 2022
External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations.
Coyner Aaron S et al. JAMA ophthalmology 2022
Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.
Yao Jiawen et al. Annals of surgery 2022
Role of Deep Learning in Prostate Cancer Management: Past, Present and Future Based on a Comprehensive Literature Review.
Naik Nithesh et al. Journal of clinical medicine 2022 11(13)
The prognostic value of machine learning techniques versus cox regression model for head and neck cancer.
Peng Jiajia et al. Methods (San Diego, Calif.) 2022 205123-132
Development of a Deep-Learning Algorithm for Small Bowel-Lesion Detection and a Study of the Improvement in the False-Positive Rate.
Hosoe Naoki et al. Journal of clinical medicine 2022 11(13)
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology.
Dhiman Paula et al. Diagnostic and prognostic research 2022 6(1) 13
Artificial Intelligence-Based Prognostic Model for Urologic Cancers: A SEER-Based Study.
Eminaga Okyaz et al. Cancers 2022 14(13)
Artificial Intelligence Algorithm-Based MRI for Differentiation Diagnosis of Prostate Cancer.
Luo Rui et al. Computational and mathematical methods in medicine 2022 20228123643
Using machine learning to preoperatively stratify prognosis among patients with gallbladder cancer: a multi-institutional analysis.
Cotter Garrett et al. HPB : the official journal of the International Hepato Pancreato Biliary Association 2022
Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning.
van der Voort Sebastian R et al. Neuro-oncology 2022
Comparative analysis of classification algorithms on the breast cancer recurrence using machine learning.
Mikhailova Valentina et al. Medical & biological engineering & computing 2022
Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
Hu Qiyi et al. Cancers 2022 14(13)
Artificial Intelligence and Laryngeal Cancer: From Screening to Prognosis: A State of the Art Review.
Bensoussan Yael et al. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery 2022 1945998221110839
Predicting Poor Glycemic Control During Ramadan Among Non-Fasting Patients with Diabetes using Artificial Intelligence based machine learning models.
Motaib Imane et al. Diabetes research and clinical practice 2022 109982
Development and implementation of patient-level prediction models of end-stage renal disease for type 2 diabetes patients using fast healthcare interoperability resources.
Wang San et al. Scientific reports 2022 12(1) 11232
A novel 6-metabolite signature for prediction of clinical outcomes in type 2 diabetic patients undergoing percutaneous coronary intervention.
Wang Xue-Bin et al. Cardiovascular diabetology 2022 21(1) 126
Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke.
Liao Wan-Wen et al. Scientific reports 2022 12(1) 11235
Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence.
Zheng Zhiyan et al. Computational intelligence and neuroscience 2022 20226488889
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use.
Zhu Simeng et al. International journal of medical informatics 2022 165104828
ES-RED (Early Seizure Recurrence in the Emergency Department) Calculator: A Triage Tool for Seizure Patients.
Lee Sung-Eun et al. Journal of clinical medicine 2022 11(13)
Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM and PM) Concentrations.
Hong Wan Yun et al. International journal of environmental research and public health 2022 19(13)
Machine learning in anesthesiology: Detecting adverse events in clinical practice.
Maciag Tomasz T et al. Health informatics journal 2022 28(3) 14604582221112855
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.
Visvikis Dimitris et al. European journal of nuclear medicine and molecular imaging 2022
Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review.
Gual-Montolio Patricia et al. International journal of environmental research and public health 2022 19(13)
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework.
Estevez Melissa et al. Cancers 2022 14(13)
A Cloud-Based Machine Learning Approach to Reduce Noise in ECG Arrhythmias for Smart Healthcare Services.
Jain Paras et al. Computational intelligence and neuroscience 2022 20223773883
Technical and Diagnostic Issues in Whole Slide Imaging Published Validation Studies.
Rizzo Paola Chiara et al. Frontiers in oncology 2022 12918580
Rethinking Algorithm Performance Metrics for Artificial Intelligence in Diagnostic Medicine.
Reyna Matthew A et al. JAMA 2022
The challenges and opportunities in using real-world data to drive advances in healthcare in East Asia: expert panel recommendations.
Crane Gracy et al. Current medical research and opinion 2022 1-21
Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
Liu Kang et al. JAMA network open 2022 5(7) e2219776
Artificial intelligence in echocardiography: Review and limitations including epistemological concerns.
Karakus Gültekin et al. Echocardiography (Mount Kisco, N.Y.) 2022
Artificial Intelligence in Cardiology-A Narrative Review of Current Status.
Koulaouzidis George et al. Journal of clinical medicine 2022 11(13)
Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images.
Papandrianos Nikolaos I et al. Journal of clinical medicine 2022 11(13)
Machine Learning Approach for Cardiovascular Risk and Coronary Artery Calcification Score.
Aditya C R et al. BioMed research international 2022 20222632770
A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study.
Qian Xin et al. Frontiers in cardiovascular medicine 2022 9854287
Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information.
Cornhill Aidan K et al. Frontiers in cardiovascular medicine 2022 9890904
Comparison of Conventional Logistic Regression and Machine Learning Methods for Predicting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: A Multicentric Observational Cohort Study.
Hu Ping et al. Frontiers in aging neuroscience 2022 14857521
Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure.
Segar Matthew W et al. JAMA cardiology 2022
Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters.
Althomsons Sandy P et al. American journal of epidemiology 2022
Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort.
Lee Jeong Hoon et al. Sensors (Basel, Switzerland) 2022 22(13)
Real-time artificial intelligence based health monitoring, diagnosing and environmental control system for COVID-19 patients.
Rahman Muhammad Zia Ur et al. Mathematical biosciences and engineering : MBE 2022 19(8) 7586-7605
Human-to-AI Interrater Agreement for Lung Ultrasound Scoring in COVID-19 Patients.
Fatima Noreen et al. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 2022
Machine Learning-Based Risk Stratification for Gestational Diabetes Management.
Yang Jenny et al. Sensors (Basel, Switzerland) 2022 22(13)
Evaluation of maxillary sinusitis from panoramic radiographs and cone-beam computed tomographic images using a convolutional neural network.
Serindere Gozde et al. Imaging science in dentistry 2022 52(2) 187-195
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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