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
Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data.
Anders Bo Bojesen et al. JCO Clin Cancer Inform 2023 7e2300084
An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.
Kaylen J Pfisterer et al. JMIR Cancer 2023 9e44332
Machine learning-based prediction model and visual interpretation for prostate cancer.
Gang Chen et al. BMC Urol 2023 23(1) 164
Analysis of Artificial Intelligence-Based Approaches Applied to Non-Invasive Imaging for Early Detection of Melanoma: A Systematic Review.
Raj H Patel et al. Cancers (Basel) 2023 15(19)
Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.
Sangwon Han et al. Ann Nucl Med 2023
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.
Chen Chen et al. Eur Radiol 2023
Personalized Prediction of Change in Fasting Blood Glucose Following Basal Insulin Adjustment in People With Type 2 Diabetes: A Proof-of-Concept Study.
Camilla Heisel Nyholm Thomsen et al. J Diabetes Sci Technol 2023 19322968231201400
Real-world prediction of preclinical Alzheimer's disease with a deep generative model.
Uiwon Hwang et al. Artif Intell Med 2023 144102654
A feasibility study on the efficacy of a patient-owned wound surveillance system for diabetic foot ulcer care (ePOWS study).
Zhiwen J Lo et al. Digit Health 2023 920552076231205747
Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis.
Tuba Ekmekyapar et al. Diagnostics (Basel) 2023 13(19)
A machine learning framework for optimizing obesity care by simulating clinical trajectories and targeted interventions.
Jacob Nudel et al. Obesity (Silver Spring) 2023
Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning.
Yogita Dubey et al. Diagnostics (Basel) 2023 13(19)
Feasibility and Utility of a Smartphone Application-Based Longitudinal Cough Monitoring in Chronic Cough Patients in a Real-World Setting.
Seung-Eun Lee et al. Lung 2023
Performance Evaluation of Machine Learning Algorithms for Sarcopenia Diagnosis in Older Adults.
Su Ozgur et al. Healthcare (Basel) 2023 11(19)
Classification of patients with chronic disease by activation level using machine learning methods.
Onur Demiray et al. Health Care Manag Sci 2023
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.
Jonathan Herington et al. J Nucl Med 2023
Exploring the Role of Artificial Intelligence in Mental Healthcare: Progress, Pitfalls, and Promises.
Gemma Espejo et al. Cureus 2023 15(9) e44748
ChatGPT Surpasses 1000 Publications on PubMed: Envisioning the Road Ahead.
Mohamad-Hani Temsah et al. Cureus 2023 15(9) e44769
Exploring the role of ChatGPT in patient care (diagnosis and treatment) and medical research: A systematic review.
Ravindra Kumar Garg et al. Health Promot Perspect 2023 13(3) 183-191
Detecting changes in the performance of a clinical machine learning tool over time.
Michiel Schinkel et al. EBioMedicine 2023 97104823
Effect of Telemedicine Use on Medical Spending and Health Care Utilization: A Machine Learning Approach.
Ayesha Jamal et al. AJPM Focus 2023 2(3) 100127
Transforming clinical trials: the emerging roles of large language models.
Jong-Lyul Ghim et al. Transl Clin Pharmacol 2023 31(3) 131-138
Mobile Health and Preventive Medicine.
Jill Waalen et al. Med Clin North Am 2023 107(6) 1097-1108
Healthcare professionals' experiences and perceptions of artificial intelligence in regional and rural health districts in Australia.
Lucy Shinners et al. Aust J Rural Health 2023
Generative artificial intelligence fails to provide sufficiently accurate recommendations when compared to established breast reconstruction surgery guidelines.
Michael P Saturno et al. J Plast Reconstr Aesthet Surg 2023 86248-250
Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study.
Hamish Fraser et al. JMIR Mhealth Uhealth 2023 11e49995
Clinicians' Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond.
Abdullah Alanazi et al. Cureus 2023 15(9) e45255
Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review.
Hassan Mumtaz et al. Front Digit Health 2023 51203945
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.
David Benrimoh et al. Am J Geriatr Psychiatry 2023
Artificial Intelligence Applications to Public Health Nutrition.
Ruopeng An et al. Nutrients 2023 15(19)
Machine learning and personalized nutrition: a promising liaison?
Paola G Ferrario et al. Eur J Clin Nutr 2023
Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach.
E F Haghish et al. Front Psychiatry 2023 141216791
Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning.
Ben Li et al. J Am Heart Assoc 2023 e030508
[Establishment and evaluation of a predictive model for early neurological deterioration after intravenous thrombolysis in acute ischemic stroke based on machine learning].
Zhe Lyu et al. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue 2023 35(9) 945-950
Development and Multinational Validation of a Novel Algorithmic Strategy for High Lp(a) Screening.
Arya Aminorroaya et al. medRxiv 2023
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017-2023.
Yaqoob Ansari et al. Front Physiol 2023 141246746
Accelerating Chest Pain Evaluation with Machine Learning.
Phyllis Thangaraj et al. Eur Heart J Acute Cardiovasc Care 2023
Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms.
Steven A Rothenberg et al. Radiology 2023 309(1) e230702
A deep learning framework for intracranial aneurysms automatic segmentation and detection on magnetic resonance T1 images.
Junda Qu et al. Eur Radiol 2023
Machine learning applications in stroke medicine: advancements, challenges, and future prospectives.
Mario Daidone et al. Neural Regen Res 2023 19(4) 769-773
Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease.
John Prince et al. J Am Heart Assoc 2023 12(20) e030377
Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches.
Yumin Jo et al. Sci Rep 2023 13(1) 17209
Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence.
Hang Chen et al. BMC Med Inform Decis Mak 2023 23(1) 213
Comparison of logistic regression with regularized machine learning methods for the prediction of tuberculosis disease in people living with HIV: cross-sectional hospital- based study in Kisumu County, Kenya.
James Orwa et al. Res Sq 2023
Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis.
Khadijeh Moulaei et al. Int J Med Inform 2023 179105243
AI Model Versus Clinician Otoscopy in the Operative Setting for Otitis Media Diagnosis.
Krish Suresh et al. Otolaryngol Head Neck Surg 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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