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
Prediction of Communication Impairment in Children With Bilateral Cerebral Palsy Using Multivariate Lesion- and Connectome-Based Approaches: Protocol for a Multicenter Prospective Cohort Study.
Hu Jie et al. Frontiers in human neuroscience 2022 16788037
Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signals.
Ari Berna et al. Computers in biology and medicine 2022 143105311
Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders-A Review.
Barua Prabal Datta et al. International journal of environmental research and public health 2022 19(3)
Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets.
Wegner Felix K et al. Journal of clinical medicine 2022 11(3)
Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer.
Chan Lawrence Wing-Chi et al. Frontiers in oncology 2022 12659096
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis.
Xue Peng et al. NPJ digital medicine 2022 5(1) 19
Machine learning algorithms are comparable to conventional regression models in predicting distant metastasis of follicular thyroid carcinoma.
Mao Yaqian et al. Clinical endocrinology 2022
Data Mining and Machine Learning in Cancer Survival Research: An Overview and Future Recommendations.
Kaur Ishleen et al. Journal of biomedical informatics 2022 104026
The Application and Comparison of Machine Learning Models for the Prediction of Breast Cancer Prognosis: Retrospective Cohort Study.
Xiao Jialong et al. JMIR medical informatics 2022 10(2) e33440
Can artificial intelligence be your angel to diagnose early gastric cancer in real clinical practice?
Abe Seiichiro et al. Gastrointestinal endoscopy 2022
Comparison of Different Machine Learning Models in Prediction of Postirradiation Recurrence in Prostate Carcinoma Patients.
Marinkovic Mladen et al. BioMed research international 2022 20227943609
Correlation of histopathology and multi-modal magnetic resonance imaging in childhood osteosarcoma: Predicting tumor response to chemotherapy.
Teo Ka Yaw et al. PloS one 2022 17(2) e0259564
Application of Artificial Intelligence in Radiotherapy of Nasopharyngeal Carcinoma with Magnetic Resonance Imaging.
Zhao Wanlu et al. Journal of healthcare engineering 2022 20224132989
Computer-aided detection of pulmonary nodules based on convolutional neural networks: a review.
Min Yuqin et al. Physics in medicine and biology 2022
Machine learning methods to predict presence of residual cancer following hysterectomy.
Ganguli Reetam et al. Scientific reports 2022 12(1) 2738
Application of Machine Learning Methods to Improve the Performance of Ultrasound in Head and Neck Oncology: A Literature Review.
DeJohn Celia R et al. Cancers 2022 14(3)
Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer.
Benning Leo et al. Cancers 2022 14(3)
Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection.
Allegra Alessandro et al. Cancers 2022 14(3)
Selection of diagnosis with oncologic relevance information from histopathology free text reports: A machine learning approach.
Viscosi Carmelo et al. International journal of medical informatics 2022 160104714
Evaluation of machine learning algorithms for trabeculectomy outcome prediction in patients with glaucoma.
Banna Hasan Ul et al. Scientific reports 2022 12(1) 2473
Predicting depression among rural and urban disabled elderly in China using a random forest classifier.
Xin Yu et al. BMC psychiatry 2022 22(1) 118
Evaluation of Natural Language Processing for the Identification of Crohn Disease-Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project.
Montoto Carmen et al. JMIR medical informatics 2022 10(2) e30345
Deep Learning Algorithm for Automated Detection of Polycystic Ovary Syndrome Using Scleral Images.
Lv Wenqi et al. Frontiers in endocrinology 2022 12789878
Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records.
Lage Isaac et al. Journal of affective disorders 2022
Big Data analysis of vision screening standards used to evaluate fitness to drive.
Moore Michael et al. Current eye research 2022 1-25
Predicting Parkinson's Disease Progression: Evaluation of Ensemble Methods in Machine Learning.
Nilashi Mehrbakhsh et al. Journal of healthcare engineering 2022 20222793361
Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images.
Sutton Reed T et al. Scientific reports 2022 12(1) 2748
Necessity of Local Modification for Deep Learning Algorithms to Predict Diabetic Retinopathy.
Tsai Ching-Yao et al. International journal of environmental research and public health 2022 19(3)
Health Technology Adoption in Liver Disease: Innovative Use of Data Science Solutions for Early Disease Detection.
Bennett Lucy et al. Frontiers in digital health 2022 4737729
Patient Factors Associated with Different Hospice Programs in Korea: Analyzing Healthcare Big Data.
Park Young-Taek et al. International journal of environmental research and public health 2022 19(3)
Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model.
Oh Seo Hyun et al. Healthcare informatics research 2022 28(1) 16-24
SHIFTing artificial intelligence to be responsible in healthcare: A systematic review.
Siala Haytham et al. Social science & medicine (1982) 2022 296114782
Predicting patients who will drop out of out-patient psychotherapy using machine learning algorithms.
Bennemann Björn et al. The British journal of psychiatry : the journal of mental science 2022 1-10
Automated detection of absence seizures using a wearable EEG device: a phase-3 validation study and feasibility of automated behavioral testing.
Japaridze Giorgi et al. Epilepsia 2022
Using artificial intelligence methods for systematic review in health sciences: A systematic review.
Blaizot Aymeric et al. Research synthesis methods 2022
Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.
Botelle Riley et al. BMJ open 2022 12(2) e052911
Development and validation of a machine learning model for classification of next glucose measurement in hospitalized patients.
Zale Andrew D et al. EClinicalMedicine 2022 44101290
Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care.
Bullock Garrett S et al. Sports medicine (Auckland, N.Z.) 2022
Views on artificial intelligence (AI) assisted clinical trials.
Balasundaram Arthi et al. Bioinformation 2022 17(6) 616-622
Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations.
Vearrier Laura et al. The Journal of emergency medicine 2022
Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record.
Uyeda Alison M et al. Journal of pain and symptom management 2022
Artificial intelligence and telemedicine in anesthesia: potential and problems.
Bellini Valentina et al. Minerva anestesiologica 2022
Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.
De Angelis Francesca et al. International journal of environmental research and public health 2022 19(3)
Deep Learning for the Automatic Quantification of Pleural Plaques in Asbestos-Exposed Subjects.
Benlala Ilyes et al. International journal of environmental research and public health 2022 19(3)
Virtual Reality and Augmented Reality- Emerging Screening and Diagnostic Techniques in Ophthalmology: a Systematic Review.
Ma Marco King In et al. Survey of ophthalmology 2022
Health-focused conversational agents in person-centered care: a review of apps.
Parmar Pritika et al. NPJ digital medicine 2022 5(1) 21
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability.
Park Christian J et al. Journal of digital imaging 2022
Exploring healthcare professionals' perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool.
Shinners Lucy et al. Digital health 2022 820552076221078110
Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study.
Tsai Chan-Hen et al. JMIR medical informatics 2022 10(2) e33063
The potential of artificial intelligence-based applications in kidney pathology.
Bülow Roman D et al. Current opinion in nephrology and hypertension 2022
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.
Han Xianjun et al. BMC medical imaging 2022 22(1) 28
Cardiovascular Disease Screening in Women: Leveraging Artificial Intelligence and Digital Tools.
Adedinsewo Demilade A et al. Circulation research 2022 130(4) 673-690
Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification.
Darmawahyuni Annisa et al. PeerJ. Computer science 2022 8e825
Risk prediction in pulmonary hypertension due to chronic heart failure: incremental prognostic value of pulmonary hemodynamics.
Quan Ruilin et al. BMC cardiovascular disorders 2022 22(1) 56
[Big Data and AI Utilization in Stroke Care].
Nishimura Kunihiro et al. No shinkei geka. Neurological surgery 2022 50(1) 240-253
Machine learning algorithm can provide assistance for the diagnosis of non-ST-segment elevation myocardial infarction.
Qin Lian et al. Postgraduate medical journal 2022
A scoping review of asthma and machine learning.
Khanam Ulfat A et al. The Journal of asthma : official journal of the Association for the Care of Asthma 2022 1-19
Learning dynamic treatment strategies for coronary heart diseases by artificial intelligence: real-world data-driven study.
Guo Haihong et al. BMC medical informatics and decision making 2022 22(1) 39
Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction.
El-Hasnony Ibrahim M et al. Sensors (Basel, Switzerland) 2022 22(3)
Discrimination of the Cognitive Function of Community Subjects Using the Arterial Pulse Spectrum and Machine-Learning Analysis.
Hsiu Hsin et al. Sensors (Basel, Switzerland) 2022 22(3)
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.
Nagaraj Yeshaswini et al. Journal of digital imaging 2022
Deep Phenotyping and Prediction of Long-Term Cardiovascular Disease: Optimized by Machine Learning.
Zhuang Xiao-Dong et al. The Canadian journal of cardiology 2022
A VLSI Chip for the Abnormal Heart Beat Detection Using Convolutional Neural Network.
Chen Yuan-Ho et al. Sensors (Basel, Switzerland) 2022 22(3)
Comparing different machine learning techniques for predicting COVID-19 severity.
Xiong Yibai et al. Infectious diseases of poverty 2022 11(1) 19
Antibiotic Decision-Making in the ICU.
Parra-Rodriguez Luis et al. Seminars in respiratory and critical care medicine 2022 43(1) 141-149
Impact of a CE-Marked Medical Software Sensor on COVID-19 Pandemic Progression Prediction: a Register Study Using Machine Learning Methods.
Limingoja Leevi et al. JMIR formative research 2022
-
Producing personalized statin treatment plans to optimize clinical outcomes using big data and machine learning.
Chi Chih-Lin et al. Journal of biomedical informatics 2022 104029
Machine learning-based prediction of postpartum hemorrhage after vaginal delivery: combining bleeding high risk factors and uterine contraction curve.
Liu Jia et al. Archives of gynecology and obstetrics 2022
Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection.
Nadda Wanchaloem et al. BioData mining 2022 15(1) 5
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 16, 2024
- Content source: