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Precision Health Database| Non-Genomics Precision Health Weekly Scan|PHGKB
Publication Date: Jun 29, 2022

news News and Publications

Birth Defects and Child Health

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants.
Airaksinen Manu et al. Communications medicine 2022 269

A graph convolutional neural network for the automated detection of seizures in the neonatal EEG.
Raeisi Khadijeh et al. Computer methods and programs in biomedicine 2022 222106950

Cancer

Clinical Analysis of Primary Tracheobronchial Tumors in Children and Evaluation of the Predicting Models for Mucoepidermoid Carcinoma.
Zhang Chen et al. Current medical science 2022

Predicting breast cancer recurrence and metastasis risk by integrating color and texture features of histopathological images and machine learning technologies.
Liu Xinyu et al. Computers in biology and medicine 2022 146105569

Prognostic impact of artificial intelligence-based volumetric quantification of the solid part of the tumor in clinical stage 0-I adenocarcinoma.
Kawaguchi Yohei et al. Lung cancer (Amsterdam, Netherlands) 2022 17085-90

Machine learning-based gene alteration prediction model for primary lung cancer using cytologic images.
Ishii Shuhei et al. Cancer cytopathology 2022

Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography.
Martinez Daniel Sierra-Lara et al. American heart journal plus : cardiology research and practice 2022 15

Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.
Wang Yiling et al. Computer methods and programs in biomedicine 2022 222106948

Deep-learning-based 3D super-resolution MRI radiomics model: superior predictive performance in preoperative T-staging of rectal cancer.
Hou Min et al. European radiology 2022

The role of artificial intelligence in MRI-driven active surveillance in prostate cancer.
Sushentsev Nikita et al. Nature reviews. Urology 2022

Differentiation of benign from malignant solid renal lesions with MRI-based radiomics and machine learning.
Massa'a Ruben Ngnitewe et al. Abdominal radiology (New York) 2022

Deep Learning for Approaching Hepatocellular Carcinoma Ultrasound Screening Dilemma: Identification of α-Fetoprotein-Negative Hepatocellular Carcinoma From Focal Liver Lesion Found in High-Risk Patients.
Zhang Wei-Bin et al. Frontiers in oncology 2022 12862297

Chronic Disease

Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.
Olsson Max et al. BMJ open 2022 12(6) e061242

Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity.
Nanda Rachita et al. Medical & biological engineering & computing 2022

Wearable airbag technology and machine learned models to mitigate falls after stroke.
Botonis Olivia K et al. Journal of neuroengineering and rehabilitation 2022 19(1) 60

A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised-Supervised Model for Chronic Disease Risk Assessment.
Mishra Sushruta et al. Computational intelligence and neuroscience 2022 20228749353

Identification of Upper Gastrointestinal Diseases during Screening Gastroscopy through Deep Convolutional Neural Network Algorithm.
Yang Hang et al. Gastrointestinal endoscopy 2022

A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ON.
Rodríguez-Martín Daniel et al. Frontiers in neurology 2022 13912343

Ethical, Legal and Social Issues (ELSI)

Legal concerns in health-related artificial intelligence: a scoping review protocol.
Da Silva Michael et al. Systematic reviews 2022 11(1) 123

General Practice

The Drivers of Acceptance of Artificial Intelligence-Powered Care Pathways Among Medical Professionals: Web-Based Survey Study.
Cornelissen Lisa et al. JMIR formative research 2022 6(6) e33368

Predicting crime during or after psychiatric care: Evaluating machine learning for risk assessment using the Danish patient registries.
Trinhammer M L et al. Journal of psychiatric research 2022 152194-200

Classifying unstructured electronic consult messages to understand primary care physician specialty information needs.
Ding Xiyu et al. Journal of the American Medical Informatics Association : JAMIA 2022

What the future holds: Machine learning to predict success in psychotherapy.
Taubitz Friedrich-Samuel et al. Behaviour research and therapy 2022 104116

The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review.
Antel Ryan et al. Patient education and counseling 2022

A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions.
Guo Lifang et al. Annals of translational medicine 2022 10(10) 590

Development and validation of the interpretability analysis system based on deep learning model for smart image follow-up of nail pigmentation.
Chen Yanqing et al. Annals of translational medicine 2022 10(10) 551

Heart, Lung, Blood and Sleep Diseases

Machine learning to predict post-operative acute kidney injury stage 3 after heart transplantation.
Li Tingyu et al. BMC cardiovascular disorders 2022 22(1) 288

The emerging roles of machine learning in cardiovascular diseases: a narrative review.
Chen Liang et al. Annals of translational medicine 2022 10(10) 611

Using machine learning to aid treatment decision and risk assessment for severe three-vessel coronary artery disease.
Jie Liu et al. Journal of geriatric cardiology : JGC 2022 19(5) 367-376

Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine.
Zheng Yulu et al. The EPMA journal 2022 13(2) 285-298

Machine learning and artificial intelligence in cardiac transplantation: A systematic review.
Naruka Vinci et al. Artificial organs 2022

Automated sleep scoring system using multi-channel data and machine learning.
Arslan Recep Sinan et al. Computers in biology and medicine 2022 146105653

Infectious Diseases

A compact, low-cost, and binary sensing (BiSense) platform for noise-free and self-validated impedimetric detection of COVID-19 infected patients.
Salahandish Razieh et al. Biosensors & bioelectronics 2022 213114459

Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis.
Gao Yali et al. PeerJ 2022 10e13594

Validation of Clinical Risk Models for Clostridioides difficile-Attributable Outcomes.
Madden Gregory R et al. Antimicrobial agents and chemotherapy 2022 e0067622

Early prediction of ventilator-associated pneumonia in critical care patients: a machine learning model.
Liang Yingjian et al. BMC pulmonary medicine 2022 22(1) 250

Reproductive Health

Applying automated machine learning to predict mode of delivery using ongoing intrapartum data in laboring patients.
Wong Melissa Spring et al. American journal of perinatology 2022

About Weekly Scan

This weekly update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The weekly 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 weekly sweep also includes news, reviews, commentaries, tools and database.


Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the 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 update, 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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