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
Artificial intelligence in rare disease diagnosis and treatment.
Magda Wojtara et al. Clin Transl Sci 2023
Machine learning strengthened prediction of tracheal, bronchus, and lung cancer deaths due to air pollution.
Jagadish Kumar Mogaraju et al. Environ Sci Pollut Res Int 2023
Editorial: Digital health quality, acceptability, and cost: steps to effective continuity of cancer care.
Anna C Singleton et al. Front Digit Health 2023 51264638
Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.
Ibrahim H Musa et al. Cancer Control 2023 3010732748231195439
AI-Based Cancer Detection Model for Contrast-Enhanced Mammography.
Clément Jailin et al. Bioengineering (Basel) 2023 10(8)
Predicting lung cancer survival based on clinical data using machine learning: A review.
Fatimah Abdulazim Altuhaifa et al. Comput Biol Med 2023 165107338
Predicting overall survival in chordoma patients using machine learning models: a web-app application.
Peng Cheng et al. J Orthop Surg Res 2023 18(1) 652
A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
Binxu Qiu et al. Front Oncol 2023 131235121
Broadening the scope of artificial intelligence in oncology.
Revathi Ravella et al. Lancet Reg Health Am 2023 25100573
Multiparametric MRI-Based Radiomics Signature with Machine Learning for Preoperative Prediction of Prognosis Stratification in Pediatric Medulloblastoma.
Yi Luo et al. Acad Radiol 2023
Development and validation of a deep learning algorithm for pattern-based classification system of cervical cancer from pathological sections.
Wei Tian et al. Heliyon 2023 9(8) e19229
A Machine Learning-Based Model to Predict In-Hospital Mortality of Lung Cancer Patients: A Population-Based Study of 523,959 Cases.
Que N N Tran et al. Adv Respir Med 2023 91(4) 310-323
Use of Artificial Intelligence Chatbots for Cancer Treatment Information.
Shan Chen et al. JAMA Oncol 2023
Use of novel artificial intelligence computer-assisted detection (AI-CAD) for screening mammography: an analysis of 17,884 consecutive two-view full-field digital mammography screening exams.
Sylvia H Heywang-Köbrunner et al. Acta Radiol 2023 2841851231187382
Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.
Zihan Qu et al. BMC Psychiatry 2023 23(1) 620
Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia.
Laura M Winchester et al. Alzheimers Dement 2023
Artificial intelligence for dementia research methods optimization.
Magda Bucholc et al. Alzheimers Dement 2023
Applications of Artificial Intelligence Methods for the Prediction of Osteoporotic Fractures.
Dorota Lis-Studniarska et al. Life (Basel) 2023 13(8)
Radiomics and Artificial Intelligence for the Diagnosis and Monitoring of Alzheimer's Disease: A Systematic Review of Studies in the Field.
Roberta Bevilacqua et al. J Clin Med 2023 12(16)
Comparative study on risk prediction model of type 2 diabetes based on machine learning theory: a cross-sectional study.
Shu Wang et al. BMJ Open 2023 13(8) e069018
CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model.
Joseph Aoki et al. Kidney Med 2023 5(9) 100692
The Application of Deep Learning to Electroencephalograms, Magnetic Resonance Imaging, and Implants for the Detection of Epileptic Seizures: A Narrative Review.
Arihant Singh et al. Cureus 2023 15(7) e42460
Using machine learning to detect sarcopenia from electronic health records.
Xiao Luo et al. Digit Health 2023 920552076231197098
Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study.
Pawel Widera et al. Osteoarthr Cartil Open 2023 5(4) 100406
Ethical principles of artificial intelligence in public health.
Jeff Clyde G Corpuz et al. J Public Health (Oxf) 2023
Towards responsible research: examining the need for preprint policy reassessment in the era of artificial intelligence.
Ismail Dergaa et al. EXCLI J 2023 22686-689
Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology.
C G Filippi et al. AJNR Am J Neuroradiol 2023
Extending an Antiracism Lens to the Implementation of Precision Public Health Interventions.
Caitlin G Allen et al. Am J Public Health 2023 e1-e9
Challenges and Ethical Considerations to Successfully Implement Artificial Intelligence in Clinical Medicine and Neuroscience: a Narrative Review.
Scott Monteith et al. Pharmacopsychiatry 2023
Clinicians' Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration.
Hamid Shamszare et al. Healthcare (Basel) 2023 11(16)
Comorbidity network analysis using graphical models for electronic health records.
Bo Zhao et al. Front Big Data 2023 6846202
A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation.
Yanran Wang et al. medRxiv 2023
Explainable Artificial Intelligence: Point and Counterpoint.
Andrew T Knox et al. Pediatr Neurol 2023 14854-55
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder.
Ali Ebrahimi et al. BMC Bioinformatics 2023 24(1) 329
Mining electronic health records using artificial intelligence: bibliometric and content analyses for current research status and product conversion.
Jun Liang et al. J Biomed Inform 2023 104480
Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review.
Jeremy A Balch et al. JMIR Med Inform 2023 11e48297
Advancing Patient Care: How Artificial Intelligence Is Transforming Healthcare.
Diana Gina Poalelungi et al. J Pers Med 2023 13(8)
Editorial: Deep learning for disease prediction in next-generation sequencing and biomedical imaging data.
Saurav Mallik et al. Front Genet 2023 141260940
Developing a new tool for scoliosis screening in a tertiary specialistic setting using artificial intelligence: a retrospective study on 10,813 patients: 2023 SOSORT award winner.
Francesco Negrini et al. Eur Spine J 2023
Development and validation of a machine learning-based prognostic risk stratification model for acute ischemic stroke.
Kai Wang et al. Sci Rep 2023 13(1) 13782
Automating venous thromboembolism risk assessment: a dual-branch deep learning method using electronic medical records.
Jianhua Yang et al. Front Med (Lausanne) 2023 101237616
Artificial Intelligence-Based Methods for Precision Cardiovascular Medicine.
Farida Mohsen et al. J Pers Med 2023 13(8)
Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing.
Jie Pan et al. Brain Inform 2023 10(1) 22
Automated ASPECTS calculation may equal the performance of experienced clinicians: a machine learning study based on a large cohort.
Shu Wan et al. Eur Radiol 2023
Longitudinal machine learning model for predicting systolic blood pressure in patients with heart failure.
Roya Najafi-Vosough et al. J Prev Med Hyg 2023 64(2) E226-E231
The use of artificial intelligence in interventional cardiology.
Hakan Göçer et al. Turk Gogus Kalp Damar Cerrahisi Derg 2023 31(3) 420-421
Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
Jian Huang et al. Front Neurol 2023 141185447
Predicting 7-day unplanned readmission in elderly patients with coronary heart disease using machine learning.
Xuewu Song et al. Front Cardiovasc Med 2023 101190038
An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database.
Saravanan Srinivasan et al. Sci Rep 2023 13(1) 13588
The diagnostic value of chest X-ray scanning by the help of Artificial Intelligence in Heart Failure (ART-IN-HF).
Ahmet Celik et al. Clin Cardiol 2023
Governing digital health for infectious disease outbreaks.
Stephen Roberts et al. Glob Public Health 2023 18(1) 2241894
Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review.
Doaa Amin et al. Antibiotics (Basel) 2023 12(8)
MRI radiomics-based evaluation of tuberculous and brucella spondylitis.
Wenhui Wang et al. J Int Med Res 2023 51(8) 3000605231195156
Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.
Xiting Lin et al. PLoS One 2023 18(9) e0290375
Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam.
Viet Tran Quoc et al. Infect Drug Resist 2023 165535-5546
An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning.
Braden W Eberhard et al. medRxiv 2023
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
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