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Genomics & Precision Health Database|Non-Genomics Precision Health Update Archive|Public Health Genomics and Precision Health Knowledge Base (PHGKB) Published on 06/02/2022

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

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Birth Defects and Child Health

Facial imaging to screen for foetal alcohol spectrum disorder (FASD): A scoping review.
Roomaney I et al. Alcoholism, clinical and experimental research 2022

Cancer

The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters.
Rakovic Kai et al. Diagnostics (Basel, Switzerland) 2022 12(5)

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.
Jones O T et al. The Lancet. Digital health 2022 4(6) e466-e476

Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research.
Hyams Travis C et al. JCO clinical cancer informatics 2022 6e2100129

Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial.
Li Eric et al. PloS one 2022 17(5) e0267012

Impact of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.
Dontchos Brian N et al. Journal of the American College of Radiology : JACR 2022

Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias.
Corti Chiara et al. Cancer treatment reviews 2022 108102410

Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT.
Kim Roger Y et al. Radiology 2022 212182

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.
Wulczyn Ellery et al. Communications medicine 2022 110

Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.
Yang Chao et al. Frontiers in oncology 2022 12893103

Machine learning imaging applications in the differentiation of true tumour progression from treatment-related effects in brain tumours: A systematic review and meta-analysis.
Bhandari Abhishta et al. Journal of medical imaging and radiation oncology 2022

Malignant Bone Tumors Diagnosis Using Magnetic Resonance Imaging Based on Deep Learning Algorithms.
Georgeanu Vlad Alexandru et al. Medicina (Kaunas, Lithuania) 2022 58(5)

Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy.
Kamitani Yu et al. Journal of clinical medicine 2022 11(10)

Development of a Deep Learning Model for Malignant Small Bowel Tumors Survival: A SEER-Based Study.
Yin Minyue et al. Diagnostics (Basel, Switzerland) 2022 12(5)

Chronic Disease

Identifying Those at Risk of Glaucoma: A Deep Learning Approach for Optic Disc and Cup Segmentation and Their Boundary Analysis.
Kim Jongwoo et al. Diagnostics (Basel, Switzerland) 2022 12(5)

A Computer-Assisted System for Early Mortality Risk Prediction in Patients with Traumatic Brain Injury Using Artificial Intelligence Algorithms in Emergency Room Triage.
Tu Kuan-Chi et al. Brain sciences 2022 12(5)

Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
Kitcharanant Nitchanant et al. BMC geriatrics 2022 22(1) 451

Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review.
D'Antoni Federico et al. International journal of environmental research and public health 2022 19(10)

Ethical, Legal and Social Issues (ELSI)

Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape.
Ailia Muhammad Joan et al. Cancers 2022 14(10)

Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms.
Giovanola Benedetta et al. AI & society 2022 1-15

Knowing When to Pass: The Effect of AI Reliability in Risky Decision Contexts.
H Elder et al. Human factors 2022 187208221100691

General Practice

Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)-A Systematic Review.
Khanagar Sanjeev B et al. Diagnostics (Basel, Switzerland) 2022 12(5)

Establishment of ICU Mortality Risk Prediction Models with Machine Learning Algorithm Using MIMIC-IV Database.
Pang Ke et al. Diagnostics (Basel, Switzerland) 2022 12(5)

Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration.
Atkins David et al. Annual review of biomedical data science 2022

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System.
Mantey Eric Appiah et al. Frontiers in public health 2022 10905265

Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.
Mishra Sashikala et al. Frontiers in public health 2022 10858282

A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review.
Battineni Gopi et al. Diagnostics (Basel, Switzerland) 2022 12(5)

Artificial Intelligence in NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors.
Choudhury Avishek et al. Healthcare (Basel, Switzerland) 2022 10(5)

Assessing Inequity in Green Space Exposure toward a "15-Minute City" in Zhengzhou, China: Using Deep Learning and Urban Big Data.
Luo Jingjing et al. International journal of environmental research and public health 2022 19(10)

Heart, Lung, Blood and Sleep Diseases

Predicting major adverse cardiovascular events in acute coronary syndrome: A scoping review of machine learning approaches.
Chopannejad Sara et al. Applied clinical informatics 2022

Obstructive Sleep Apnoea Syndrome Screening Through Wrist-Worn Smartbands: A Machine-Learning Approach.
Benedetti Davide et al. Nature and science of sleep 2022 14941-956

From 12 to 1 ECG lead: multiple cardiac condition detection mixing a hybrid machine learning approach with a one-vs-rest classification strategy.
Jiménez-Serrano Santiago et al. Physiological measurement 2022

Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study.
Lee Eunice Y et al. Environmental research 2022 113463

Deep learning-based classification of DSA image sequences of patients with acute ischemic stroke.
Mittmann Benjamin J et al. International journal of computer assisted radiology and surgery 2022

Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score.
Sajid Mirza Rizwan et al. Computational intelligence and neuroscience 2022 20225475313

Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.
Li Li et al. Frontiers in public health 2022 10881234

Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.
Oh Esther et al. Sensors (Basel, Switzerland) 2022 22(10)

Development and Validation of an Artificial Intelligence Electrocardiogram Recommendation System in the Emergency Department.
Tsai Dung-Jang et al. Journal of personalized medicine 2022 12(5)

The Applications of Artificial Intelligence in Cardiovascular Magnetic Resonance-A Comprehensive Review.
Argentiero Adriana et al. Journal of clinical medicine 2022 11(10)

Risk Assessment of CHD Using Retinal Images with Machine Learning Approaches for People with Cardiometabolic Disorders.
Qu Yimin et al. Journal of clinical medicine 2022 11(10)

Infectious Diseases

The Potential Cost and Cost-Effectiveness Impact of Using a Machine Learning Algorithm for Early Detection of Sepsis in Intensive Care Units in Sweden.
Ericson Oskar et al. Journal of health economics and outcomes research 2022 9(1) 101-110

Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages.
Xu Xianglong et al. Scientific reports 2022 12(1) 8757

COVID-19, artificial intelligence, ethical challenges and policy implications.
Anshari Muhammad et al. AI & society 2022 1-14

Personalized antibiograms for machine learning driven antibiotic selection.
Corbin Conor K et al. Communications medicine 2022 238

Evaluation of the effectiveness of an automated sepsis predictive tool on patient outcomes.
Schootman Mario et al. Journal of critical care 2022 71154061

Essential Oils Biofilm Modulation Activity and Machine Learning Analysis on Pseudomonas aeruginosa Isolates from Cystic Fibrosis Patients.
Artini Marco et al. Microorganisms 2022 10(5)

Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings.
Oyibo Prosper et al. Micromachines 2022 13(5)

A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster.
Lanera Corrado et al. International journal of environmental research and public health 2022 19(10)

Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network.
Mujahid Muhammad et al. Diagnostics (Basel, Switzerland) 2022 12(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.
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