Last Update Date: Mar 08, 2020
- Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer
Y Zheng et al, Nat comms, March 2020 - Coronavirus latest: children are as susceptible as adults, study suggests
Nature, March 5, 2020 - We’re learning a lot about the coronavirus. It will help us assess risk
H Branswell, Stat News, March 6, 2020 - Coronavirus Disease 2019 (COVID-19)-Updates on COVID-19 diagnosis and treatment
JAMA Network, 2020 - How Computer Modeling Of COVID-19's Spread Could Help Fight The Virus
WBUR, March 4, 2020 - Smartphone screening for neonatal jaundice via ambient-subtracted sclera chromaticity
F Outlaw et al, PLOS One, March 2020 - Identification of infectious disease-associated host genes using machine learning techniques.
Barman Ranjan Kumar et al. BMC bioinformatics 2019 Dec 20(1) 736 - Continuous Sound Collection Using Smartphones and Machine Learning to Measure Cough.
Kvapilova Lucia et al. Digital biomarkers 3(3) 166-175 - Artificial Intelligence in Medicine: Today and Tomorrow.
Briganti Giovanni et al. Frontiers in medicine 2020 727 - Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma.
Zapata Miguel Angel et al. Clinical ophthalmology (Auckland, N.Z.) 2020 14419-429 - A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors.
Yu Xiaoqun et al. Frontiers in bioengineering and biotechnology 2020 863 - Detection of extremity chronic traumatic osteomyelitis by machine learning based on computed-tomography images: A retrospective study.
Wu Yifan et al. Medicine 2020 Feb 99(9) e19239 - What Can We Learn About Drug Safety and Other Effects in the Era of Electronic Health Records and Big Data That We Would Not Be Able to Learn From Classic Epidemiology?
Zarrinpar Ali et al. The Journal of surgical research 2020 246599-604 - Artificial intelligence in abdominal aortic aneurysm.
Raffort Juliette et al. Journal of vascular surgery 2020 Feb - Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges.
Nadeem Muhammad Waqas et al. Brain sciences 2020 Feb 10(2) - Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.
Hu Chien-An et al. BMJ open 2020 Feb 10(2) e033898 - Imaging research in fibrotic lung disease; applying deep learning to unsolved problems.
Walsh Simon L F et al. The Lancet. Respiratory medicine 2020 Feb - Identification of newborns at risk for autism using electronic medical records and machine learning.
Rahman Rayees et al. European psychiatry : the journal of the Association of European Psychiatrists 2020 Feb 63(1) e22 - Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator.
Diprose William K et al. Journal of the American Medical Informatics Association : JAMIA 2020 Feb - Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models.
Amasya Hakan et al. Dento maxillo facial radiology 2020 Feb 20190441
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics 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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