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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 09/08/2022

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

Using artificial intelligence to reduce queuing time and improve satisfaction in pediatric outpatient service: A randomized clinical trial.
Li Xiaoqing et al. Frontiers in pediatrics 2022 10929834

Machine learning models using mobile game play accurately classify children with autism.
Deveau Nicholas et al. Intelligence-based medicine 2022 100057

Cancer

Prediction of Endometrial Cancer Recurrence by Using a Novel Machine Learning Algorithm: An Israeli Gynecologic Oncology Group study.
Houri Ohad et al. Journal of gynecology obstetrics and human reproduction 2022 102466

Differentiation of benign and malignant spinal schwannoma using guided attention inference networks on multi-source MRI: comparison with radiomics method and radiologist-based clinical assessment.
Cao Jiashi et al. Acta radiologica (Stockholm, Sweden : 1987) 2022 2841851221119375

Urine Fluorescence spectroscopy combined with machine learning for screening of hepatocellular carcinoma and liver cirrhosis.
Dou Jingrui et al. Photodiagnosis and photodynamic therapy 2022 103102

Development and validation of a deep learning model to predict survival of patients with esophageal cancer.
Huang Chen et al. Frontiers in oncology 2022 12971190

Machine learning framework for automatic image quality evaluation involving a mammographic American College of Radiology phantom.
Ho Pei-Shan et al. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) 2022 1021-8

Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer.
Goto Atsushi et al. Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association 2022

CT and CEA-based Machine Learning Model for Predicting Malignant Pulmonary Nodules.
Liu Man et al. Cancer science 2022

Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification.
Bourdillon Alexandra T et al. The Laryngoscope 2022

Machine learning: A non-invasive prediction method for gastric cancer based on a survey of lifestyle behaviors.
Jiang Siqing et al. Frontiers in artificial intelligence 2022 5956385

Chronic Disease

Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia.
Cheung Carol Y et al. Brain communications 2022 4(4) fcac212

Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study.
Li Yali et al. Frontiers in endocrinology 2022 13884306

Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people.
Wang Shuojia et al. Frontiers in aging neuroscience 2022 14977034

Glucose trajectory prediction by deep learning for personal home care of type 2 diabetes mellitus: modelling and applying.
Lin Lingmin et al. Mathematical biosciences and engineering : MBE 2022 19(10) 10096-10107

Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.
Deatsch Alison et al. Physics in medicine and biology 2022

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data.
Wallert John et al. Translational psychiatry 2022 12(1) 357

Ethical, Legal and Social Issues (ELSI)

Picture a data scientist: a call to action for increasing diversity, equity, and inclusion in the age of AI.
de Hond Anne A H et al. Journal of the American Medical Informatics Association : JAMIA 2022

General Practice

Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.
Tonn Peter et al. JMIR formative research 2022 6(8) e37061

Undergraduate Medical Students' and Interns' Knowledge and Perception of Artificial Intelligence in Medicine.
Jha Nisha et al. Advances in medical education and practice 2022 13927-937

Accuracy of machine learning algorithms for the assessment of upper-limb motor impairments in patients with post-stroke hemiparesis: A systematic review and meta-analysis.
Ambros-Antemate Jorge Fernando et al. Advances in clinical and experimental medicine : official organ Wroclaw Medical University 2022

Overuse and Underuse of Health Care: New Insights From Economics and Machine Learning.
Baicker Katherine et al. JAMA health forum 2022 3(2)

Artificial intelligence based intelligent surveillance for reducing nurses' working hours in nurse-patient interaction: A two-wave study.
Huang Kai et al. Journal of nursing management 2022

Scoping review of the current landscape of AI-based applications in clinical trials.
Cascini Fidelia et al. Frontiers in public health 2022 10949377

Integrating Artificial Intelligence for Clinical and Laboratory Diagnosis - a Review.
Undru Taran Rishit et al. Maedica 2022 17(2) 420-426

Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.
Wolff Justus et al. Journal of integrative bioinformatics 2022

The silent trial - the bridge between bench-to-bedside clinical AI applications.
Kwong Jethro C C et al. Frontiers in digital health 2022 4929508

Digital Disruption and Big Data in Healthcare - Opportunities and Challenges.
El Khatib Mounir et al. ClinicoEconomics and outcomes research : CEOR 2022 14563-574

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.
Kotecha Dipak et al. The Lancet. Digital health 2022

What electronic health records can and cannot tell us in the era of big data.
Bellasi Antonio et al. Atherosclerosis 2022

Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review.
Veldhuis Lars I et al. Critical care explorations 2022 4(9) e0744

Machine Learning Prediction of Suicide Risk Does Not Identify Patients Without Traditional Risk Factors.
Cruz Maricela et al. The Journal of clinical psychiatry 2022 83(5)

Identifying Influences in Patient Decision-making Processes in Online Health Communities: Data Science Approach.
Li Mingda et al. Journal of medical Internet research 2022 24(8) e30634

Innovation of health data science curricula.
Isola Miriam et al. JAMIA open 2022 5(3) ooac073

Applicability of Data Mining and Predictive Analysis for Tobacco Cessation: An Exploratory Study.
Rijhwani Kavita et al. Frontiers in dentistry 2022 1724

Heart, Lung, Blood and Sleep Diseases

Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population.
Liu Qing et al. BMC pulmonary medicine 2022 22(1) 327

Acute coronary syndrome prediction in emergency care: A machine learning approach.
Emakhu Joshua et al. Computer methods and programs in biomedicine 2022 225107080

Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias.
Doste Ruben et al. Frontiers in physiology 2022 13909372

An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.
Gearhart Addison et al. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography 2022

Explainable and efficient deep early warning system for cardiac arrest prediction from electronic health records.
Tang Qinhua et al. Mathematical biosciences and engineering : MBE 2022 19(10) 9825-9841

Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case-control study.
Bennis Frank C et al. BMJ open 2022 12(8) e060458

A two-step method for paroxysmal atrial fibrillation event detection based on machine learning.
Wang Ya'nan et al. Mathematical biosciences and engineering : MBE 2022 19(10) 9877-9894

Machine learning to predict left ventricular reverse remodeling by guideline-directed medical therapy by utilizing texture feature of extracellular volume fraction in patients with non-ischemic dilated cardiomyopathy.
Suyama Shun et al. Heart and vessels 2022

Artificial Intelligence software to interpret brain computed tomography in patients with stroke: External validation of e-ASPECTS software.
Mair Grant et al. Annals of neurology 2022

Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients.
McGilvray Martha M O et al. JACC. Heart failure 2022 10(9) 637-647

Sex-specific evaluation and redevelopment of the GRACE score in non-ST-segment elevation acute coronary syndromes in populations from the UK and Switzerland: a multinational analysis with external cohort validation.
Wenzl Florian A et al. Lancet (London, England) 2022 400(10354) 744-756

Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?
Kim Kyung-Hee et al. Current cardiology reports 2022

Infectious Diseases

A role for artificial intelligence in molecular imaging of infection and inflammation.
Schwenck Johannes et al. European journal of hybrid imaging 2022 6(1) 17

Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants.
Yaeger Jeffrey P et al. Journal of hospital medicine 2022


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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