Last Update Date: Jan 31, 2020
- Wuhan Coronavirus : Should we trust social media?
BMJ Global Health, January 30, 2020 - Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index.
Mitchell Joshua D et al. Journal of visualized experiments : JoVE 2020 Jan (155) - Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants
AL Nobles et al, NPJ Digital Medicine January 29, 2020 - Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants
AL Nobles, et al, NPJ Digital Medicine, January 29, 2020 - Public Health Research, Practice, and Ethics for Justice-Involved Persons in the Big Data Era.
Rosen David L et al. American journal of public health 2020 Jan 110(S1) S37-S38 - Scientific challenges for precision public health.
Kee Frank et al. Journal of epidemiology and community health 2020 Jan - A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach.
Du Bin et al. Computer methods and programs in biomedicine 2019 Dec 186105308 - Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.
Graham Sarah A et al. Psychiatry research 2019 Dec 284112732 - Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV types.
Miyagi Yasunari et al. Oncology letters 2020 Feb 19(2) 1602-1610 - Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.
El Naqa Issam et al. The British journal of radiology 2020 Feb 93(1106) 20190855 - Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods.
Zahia Sofia et al. Artificial intelligence in medicine 2020 Jan 102101742 - Skin cancer diagnosis based on optimized convolutional neural network.
Zhang Ni et al. Artificial intelligence in medicine 2020 Jan 102101756 - Implementation of artificial intelligence in medicine: Status analysis and development suggestions.
Xiang Yifan et al. Artificial intelligence in medicine 2020 Jan 102101780 - Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering.
Ma Hua et al. Medical image analysis 2020 Jan 61101634 - Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.
Ricciardi Carlo et al. Computer methods and programs in biomedicine 2020 Jan 189105343 - Portable Detection of Apnea and Hypopnea Events using Bio-Impedance of the Chest and Deep Learning.
Van Steenkiste Tom et al. IEEE journal of biomedical and health informatics 2020 Jan - Characterizing the Role of Dermatologists in Developing AI for Assessment of Skin Cancer: A Systematic Review.
Zakhem George A et al. Journal of the American Academy of Dermatology 2020 Jan - Crowdsourcing in health and medical research: a systematic review.
Wang Cheng et al. Infectious diseases of poverty 2020 Jan 9(1) 8 - Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease1,2.
Ezzati Ali et al. Journal of Alzheimer's disease : JAD 2020 Jan - What is AI? Applications of artificial intelligence to dermatology.
Du-Harpur X et al. The British journal of dermatology 2020 Jan
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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