Last Update Date: Aug 19, 2019
- Practical guidance on artificial intelligence for health-care data
M Ghassemi et al, Lancet Digital Health - All Your Data Is Health Data- And Big Tech has it all.
C Warzel, NY Times, August 13, 2019 - Practical guidance on artificial intelligence for health-care data
Lancet Digital Health, August 2019 - A.I. Is Learning From Humans. Many Humans.
C Metz, NY Times, August 16, 2019 - The “inconvenient truth” about AI in healthcare
T Panch et al, NPJ Digital Medicine, August 16, 2019 - Feature Extraction Based Machine Learning for Human Burn Diagnosis From Burn Images.
Yadav D P et al. IEEE journal of translational engineering in health and medicine 2019 71800507 - State-of-the-Art Deep Learning in Cardiovascular Image Analysis.
Litjens Geert et al. JACC. Cardiovascular imaging 2019 Aug 12(8 Pt 1) 1549-1565 - Datafication and accountability in public health: Introduction to a special issue.
Hoeyer Klaus et al. Social studies of science 2019 Aug 49(4) 459-475 - Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.
Le Berre Alice et al. Neuroradiology 2019 Aug - Intelligent Imaging: Artificial Intelligence Augmented Nuclear Medicine.
Currie Geoffrey M et al. Journal of nuclear medicine technology 2019 Aug - Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning.
Zhang M et al. Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 2019 Aug - IoT Solution for Smart Cities' Pollution Monitoring and the Security Challenges.
Toma Cristian et al. Sensors (Basel, Switzerland) 2019 Aug 19(15) - Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient's Return to the Clinic.
Madrid-García Alfredo et al. Journal of clinical medicine 2019 Aug 8(8) - Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions Through Adverse Event Reports.
Liu Ning et al. IEEE journal of biomedical and health informatics 2019 Aug - Artificial Intelligence for Drug Toxicity and Safety.
Basile Anna O et al. Trends in pharmacological sciences 2019 Aug - Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.
Mercan Ezgi et al. JAMA network open 2019 Aug 2(8) e198777 - Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.
Chiang Pei-Yu et al. Sensors (Basel, Switzerland) 2019 Aug 19(15) - A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.
Giannini Heather M et al. Critical care medicine 2019 Aug - Digital Health Sensing for Personalized Dermatology.
Spinazze Pier et al. Sensors (Basel, Switzerland) 2019 Aug 19(15) - Machine learning in clinical practice: prospects and pitfalls.
Scott Ian A et al. The Medical journal of Australia 2019 Aug
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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