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
Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care.
Variane Gabriel Fernando Todeschi et al. Frontiers in pediatrics 2022 9755144
Deep Learning Enabled Diagnosis of Children's ADHD Based on the Big Data of Video Screen Long-Range EEG.
Zhou Dingfu et al. Journal of healthcare engineering 2022 20225222136
Development and validation of a deep-learning-based pediatric early warning system: A single-center study.
Park Seong Jong et al. Biomedical journal 2022
How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules.
Fahmy Dalia et al. Cancers 2022 14(7)
Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications.
Preuss Kiersten et al. Cancers 2022 14(7)
A Comparative and Summative Study of Radiomics-based Overall Survival Prediction in Glioblastoma Patients.
Ruan Zhuoying et al. Journal of computer assisted tomography 2022
Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles Amiel et al. Computers in biology and medicine 2022 145105490
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency.
Barragan-Montero Ana Maria et al. Physics in medicine and biology 2022
Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
Chen Haolin et al. European radiology 2022
A Deep Learning-Based Framework for Supporting Clinical Diagnosis of Glioblastoma Subtypes.
Munquad Sana et al. Frontiers in genetics 2022 13855420
Artificial intelligence and machine learning for early detection and diagnosis of colorectal cancer in sub-Saharan Africa.
Waljee Akbar K et al. Gut 2022
Digital technologies in cancer care: a review from the clinician's perspective.
Briggs Logan G et al. Journal of comparative effectiveness research 2022
Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis.
Zhou Joanne et al. JMIR mHealth and uHealth 2022 10(4) e31006
Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.
Kwon Joon-Myoung et al. International urology and nephrology 2022
Comparison of Different Machine Learning Techniques to Predict Diabetic Kidney Disease.
David Satish Kumar et al. Journal of healthcare engineering 2022 20227378307
Evaluation of Functional Magnetic Resonance Imaging under Artificial Intelligence Algorithm on Plan-Do-Check-Action Home Nursing for Patients with Diabetic Nephropathy.
Du Qianqian et al. Contrast media & molecular imaging 2022 20229882532
Machine learning models for diabetes management in acute care using electronic medical records: A systematic review.
Kamel Rahimi Amir et al. International journal of medical informatics 2022 162104758
The Viability of an AI/ML Prediction Model to Determine Candidates for Knee Arthroplasty.
Houserman David J et al. The Journal of arthroplasty 2022
Cross-trial prediction of depression remission using problem-solving therapy: A machine learning approach.
Kannampallil Thomas et al. Journal of affective disorders 2022
Automatic diagnosis and grading of patellofemoral osteoarthritis from the axial radiographic view: a deep learning-based approach.
Tuya E et al. Acta radiologica (Stockholm, Sweden : 1987) 2022 2841851221092164
Seizure detection with deep neural networks for review of two-channel EEG.
Hartmann Manfred et al. Epilepsia 2022
Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet.
Chen Xing et al. Contrast media & molecular imaging 2022 20221183988
Artificial intelligence in laboratory medicine: fundamental ethical issues and normative key-points.
Pennestrì Federico et al. Clinical chemistry and laboratory medicine 2022
A proposal for developing a platform that evaluates algorithmic equity and accuracy.
Cerrato Paul et al. BMJ health & care informatics 2022 29(1)
The Disruption of Trust in the Digital Transformation Leading to Health 4.0.
Guckert Michael et al. Frontiers in digital health 2022 4815573
Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping.
Link Nicholas B et al. International journal of medical informatics 2022 162104753
Neural Translation and Automated Recognition of ICD-10 Medical Entities From Natural Language: Model Development and Performance Assessment.
Falissard Louis et al. JMIR medical informatics 2022 10(4) e26353
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.
Talpur Sarena et al. Journal of healthcare engineering 2022 20225032435
Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.
Boillat Thomas et al. JMIR medical education 2022 8(2) e34973
Experiences and perceptions of final-year nursing students of using a chatbot in a simulated emergency situation: a qualitative study.
Rodriguez-Arrastia Miguel et al. Journal of nursing management 2022
Leveraging Continuous Vital Sign Measurements for Real-Time Assessment of Autonomic Nervous System Dysfunction After Brain Injury: A Narrative Review of Current and Future Applications.
Podell Jamie et al. Neurocritical care 2022
Subscribing to big data at scale.
Wang Xikui et al. Distributed and parallel databases 2022 1-46
Combining human and machine intelligence for clinical trial eligibility querying.
Fang Yilu et al. Journal of the American Medical Informatics Association : JAMIA 2022
Predictive models for clinical decision making: Deep dives in practical machine learning.
Eloranta Sandra et al. Journal of internal medicine 2022
Using machine learning to predict heavy drinking during outpatient alcohol treatment.
Roberts Walter et al. Alcoholism, clinical and experimental research 2022 46(4) 657-666
Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE).
Kelly Brendan S et al. European radiology 2022
Design and Implementation of Advanced Machine Learning Management and Its Impact on Better Healthcare Services: A Multiple Regression Analysis Approach (MRAA).
Devi M Kiruthiga et al. Computational and mathematical methods in medicine 2022 20222489116
Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges.
Boursalie Omar et al. Journal of healthcare informatics research 2022 2(1-2) 179-203
Machine learning for medical imaging: methodological failures and recommendations for the future.
Varoquaux Gaël et al. NPJ digital medicine 2022 5(1) 48
Assessment of right ventricular size and function from cardiovascular magnetic resonance images using artificial intelligence.
Wang Shuo et al. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 2022 24(1) 27
Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals.
Rajput Jaypal Singh et al. International journal of environmental research and public health 2022 19(7)
Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review.
Xiong Ping et al. Frontiers in cardiovascular medicine 2022 9860032
Cerebral Microbleed Automatic Detection System Based on the "Deep Learning".
Fan Pingping et al. Frontiers in medicine 2022 9807443
Machine learning models for prediction of adverse events after percutaneous coronary intervention.
Niimi Nozomi et al. Scientific reports 2022 12(1) 6262
Coordinating Health Care With Artificial Intelligence-Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial.
Laranjo Liliana et al. JMIR research protocols 2022 11(4) e34470
A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months.
Xu Xianglong et al. Journal of clinical medicine 2022 11(7)
Predicting Usual Interstitial Pneumonia Histopathology from Chest CT with Deep Learning.
Bratt Alex et al. Chest 2022
Machine learning-based predictive models for identifying high active compounds against HIV-1 integrase.
Parvez M K et al. SAR and QSAR in environmental research 2022 1-16
Machine Learning to Predict Vasopressin Responsiveness in Patients with Septic Shock.
Scheibner Aileen et al. Pharmacotherapy 2022
Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.
Park James Yeongjun et al. Journal of medical Internet research 2022 24(4) e29982
Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning.
Das Debashish et al. Malaria journal 2022 21(1) 122
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 23, 2024
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