Last Update Date: Aug 10, 2019
- Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions
E Merkan et al, JAMA Network Open, August 9,2109 - Big Data, Big Tech, and Protecting Patient Privacy
IG Cohen et al, JAMA, August 9, 2019 - Digital literacy—a blind spot in medical education?
Z Hassan, BMJ, August 8 2019 - Making Machine Learning Models Clinically Useful.
Shah Nigam H et al. JAMA 2019 Aug - Evaluation and Identification of the Neuroprotective Compounds of Xiaoxuming Decoction by Machine Learning: A Novel Mode to Explore the Combination Rules in Traditional Chinese Medicine Prescription.
Yang Shilun et al. BioMed research international 2019 20196847685 - Classification and Assessment of the Patelar Reflex Response through Biomechanical Measures.
Salazar-Muñoz Yolocuauhtli et al. Journal of healthcare engineering 2019 20191614963 - A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures.
Grassi Massimiliano et al. Frontiers in neurology 2019 10756 - 18 F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia.
Li Hebei et al. Theranostics 2019 9(16) 4730-4739 - Deep learning detects impending organ injury in the clinic.
Topol Eric J et al. Nature 2019 Aug 572(7767) 36-37 - Machine-learned modeling of PM 2.5 exposures in rural Lao PDR.
Hill L D et al. The Science of the total environment 2019 Aug 676811-822 - An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Attia Zachi I et al. Lancet (London, England) 2019 Aug - Automatic detection of eating disorder-related social media posts that could benefit from a mental health intervention.
Yan Hao et al. The International journal of eating disorders 2019 Aug - Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases.
Yang Ariel et al. PLoS neglected tropical diseases 2019 Aug 13(8) e0007577 - Unlocking the potential of population-based cancer registries.
Tucker Thomas C et al. Cancer 2019 Aug - Classification of radiographic lung pattern based on texture analysis and machine learning.
Yoon Youngmin et al. Journal of veterinary science 2019 Jul 20(4) e44 - Evaluation of Early Gadolinium Enhancement (EGE) and Cardiac Functional Parameters in Cine-Magnetic Resonance Imaging (MRI) on Artificial Intelligence in Patients with Acute Myocarditis: A Case-Controlled Observational Study.
Yuan Wei-Feng et al. Medical science monitor : international medical journal of experimental and clinical research 2019 Jul 255493-5500 - Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.
Park S et al. Diagnostic and interventional imaging 2019 Jul - Data-driven assessment of cardiovascular ageing through multisite photoplethysmography and electrocardiography.
Chiarelli Antonio M et al. Medical engineering & physics 2019 Jul - Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.
Lim Chris C et al. Environment international 2019 Jul 131105022 - Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants.
Hansen William B et al. JMIR mHealth and uHealth 2019 Jul 7(7) e14655
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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