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

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.

journal_name

Artif Intell Med

journal_title

Artificial intelligence in medicine

authors

Spänig S,Emberger-Klein A,Sowa JP,Canbay A,Menrad K,Heider D

doi

10.1016/j.artmed.2019.101706

subject

Has Abstract

pub_date

2019-09-01 00:00:00

pages

101706

eissn

0933-3657

issn

1873-2860

pii

S0933-3657(19)30108-3

journal_volume

100

pub_type

杂志文章

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