AI technologies: Conditions for further impact
This paper deals with the impact of some AI technologies expected in the medical domain in the next few years. Many promises have been made already in the past from different research groups, but few have come to fruition. The innate difficulties associated with the explored field, or an underestimation of necessary resources, are the most common causes for delay (up to 200% or more). We will concentrate in this paper on three topics which will lead to clinical applications before the end of the century: Imaging technologies enhanced by expert systems which are already in use today in a few hospitals; Natural Language Processing which is now producing some early results; Knowledge browsers on the Internet that necessitate intelligent processes. For these three situations, this paper presents state-of-the-art prototypes and results which have given a «proof of concept». Moreover, it evaluates the potential for use in clinics, as well as for taking a position on the software market.
The author and his team would like to emphasise a clear message to researchers: that the main progress of AI techniques in the future will come from field experiments; that only in such a context will theories, principles and algorithms provide their best contributions to the advance of AI technologies. The suggestion: « Come down from the mountains and create pragmatic applications » is certainly a call to be more efficient.
KeywordsNatural Language Processing Medical Domain Intelligent Process Software Market Main Progress
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