The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Journal: Artificial intelligence in medicine
PMID: 31607340

Abstract

Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. However, these systems are widely used, e.g., in diabetes or cancer prediction. In the current study, we developed an AI that is able to interact with a patient (virtual doctor) by using a speech recognition and speech synthesis system and thus can autonomously interact with the patient, which is particularly important for, e.g., rural areas, where the availability of primary medical care is strongly limited by low population densities. As a proof-of-concept, the system is able to predict type 2 diabetes mellitus (T2DM) based on non-invasive sensors and deep neural networks. Moreover, the system provides an easy-to-interpret probability estimation for T2DM for a given patient. Besides the development of the AI, we further analyzed the acceptance of young people for AI in healthcare to estimate the impact of such a system in the future.

Authors

  • Sebastian Spänig
    Department of Bioinformatics, Faculty of Mathematics and Computer Science, Philipps-University of Marburg, Hans-Meerwein-Str. 6, 35037 Marburg, Germany.
  • Agnes Emberger-Klein
    Chair of Marketing and Management of Biogenic Resources, Weihenstephan-Triesdorf University of Applied Sciences/TUM Campus Straubing for Biotechnology and Sustainability, Petersgasse 18, 94315 Straubing, Germany.
  • Jan-Peter Sowa
    Department of Gastroenterology, Hepatology, and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
  • Ali Canbay
    Department of Gastroenterology and Hepatology, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
  • Klaus Menrad
    Chair of Marketing and Management of Biogenic Resources, Weihenstephan-Triesdorf University of Applied Sciences/TUM Campus Straubing for Biotechnology and Sustainability, Petersgasse 18, 94315 Straubing, Germany.
  • Dominik Heider
    Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany.

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