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
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