A data-driven approach to referable diabetic retinopathy detection. Pires Ramon et al. Artificial intelligence in medicine 2019 May 9693-106

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Last Posted: Jun 12, 2019

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• A data-driven approach to referable diabetic retinopathy detection.
  Pires Ramon et al. Artificial intelligence in medicine 2019 May 9693-106
• A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children.
  Porter Paul et al. Respiratory research 2019 Jun 20(1) 81
• Artificial Intelligence in Ophthalmology: Accuracy, Challenges, and Clinical Application.
  Tan Zachary et al. Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 8(3) 197-199
• Assistive game controller for artificial intelligence-enhanced telerehabilitation post-stroke.
  Burdea Grigore et al. Assistive technology : the official journal of RESNA 2019 Jun 1-12
• Co-Imagining the Futures of Implementation Precision Medicine Using Scenario Analysis and Design Fiction.
  York Emily et al. Omics : a journal of integrative biology 2019 Jun
• Leveraging Artificial Intelligence and Machine Learning to Advance Environmental Health Research and Decisions
  June 6, 2019- June 7, 2019 ~ Workshop: Washington, DC,
• PEDIA: prioritization of exome data by image analysis.
  Hsieh Tzung-Chien et al. Genetics in medicine : official journal of the American College of Medical Genetics 2019 Jun
• [Digital health and nursing : The future is now].
  Jedamzik S et al. Der Unfallchirurg 2019 May
• A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.
  Fritz Roschelle L et al. Nursing outlook 67(2) 140-153
• A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.
  Allen Bibb et al. Journal of the American College of Radiology : JACR 2019 May

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