Last Update Date: Feb 28, 2020
- Preprints bring ‘firehose’ of outbreak data
K Kupferschmidt, Science, February 28, 2020 - Leveraging the health information technology infrastructure to advance federal research priorities.
Zayas-Cabán Teresa et al. Journal of the American Medical Informatics Association : JAMIA 2020 Feb - A Group-Mediated Approach to Precision Medicine-Social Identification, Prevention, and Treatment.
Beauchamp Mark R et al. JAMA psychiatry 2020 Feb - Machine learning methods in psychiatry: a brief introduction.
Zhou Zhirou et al. General psychiatry 2020 33(1) e100171 - Evidence-based Canadian guidelines for tele-retina screening for diabetic retinopathy: recommendations from the Canadian Retina Research Network (CR2N) Tele-Retina Steering Committee.
Boucher M C et al. Canadian journal of ophthalmology. Journal canadien d'ophtalmologie 2020 Feb 55(1S1) 14-24 - Inconsistent Performance of Deep Learning Models on Mammogram Classification.
Wang Xiaoqin et al. Journal of the American College of Radiology : JACR 2020 Feb - Deep learning for screening of interstitial lung disease patterns in high-resolution CT images.
Agarwala S et al. Clinical radiology 2020 Feb - The impact of long-term PM 2.5 exposure on specific causes of death: exposure-response curves and effect modification among 53 million U.S. Medicare beneficiaries.
Wang Bingyu et al. Environmental health : a global access science source 2020 Feb 19(1) 20 - Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.
Pueyo Victoria et al. BMJ open 2020 Feb 10(2) e033139 - Automatic Recognition of Laryngoscopic Images Using a Deep-Learning Technique.
Ren Jianjun et al. The Laryngoscope 2020 Feb - Preparing Medical Imaging Data for Machine Learning.
Willemink Martin J et al. Radiology 2020 Feb 192224 - Beyond the Artificial Intelligence Hype: What Lies Behind the Algorithms and What We Can Achieve.
van Assen Marly et al. Journal of thoracic imaging 2020 Feb - Screening for chronic conditions with reproductive factors using a machine learning based approach.
Tian Siyu et al. Scientific reports 2020 Feb 10(1) 2848 - Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.
Staartjes Victor E et al. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 2020 Feb - Big Data vs. Clinical Trials in HPB Surgery.
de Geus Susanna W L et al. Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 2020 Feb - External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice.
Dontchos Brian N et al. Academic radiology 2020 Feb - Development of an early-warning system for high-risk patients for suicide attempt using deep learning and electronic health records.
Zheng Le et al. Translational psychiatry 2020 Feb 10(1) 72 - Comparing an artificial neural network to logistic regression for predicting ED visit risk among patients with cancer: a population-based cohort study.
Sutradhar Rinku et al. Journal of pain and symptom management 2020 Feb - Where Medical Education Meets Artificial Intelligence: "Does Technology Care?"
van der Niet A G et al. Medical education 2020 Feb - Machine Learning and Deep Neural Networks Applications in Coronary Flow Assessment: The Case of Computed Tomography Fractional Flow Reserve.
Tesche Christian et al. Journal of thoracic imaging 2020 Feb
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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