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Translational Bioinformatics and Its Application pp 371–407Cite as

Artificial Intelligence and Automatic Image Interpretation in Modern Medicine

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Part of the book series: Translational Medicine Research ((TRAMERE))

Abstract

The need for intelligent computerized systems in medicine has increased over recent years; artificial neural networks (ANN) have become increasingly popular for various classification tasks during diagnosis procedures.

One of the most dynamic branches of modern diagnosis is medical imaging, with the emergence of various new methods for finding disease, especially cancer. Quantifying and interpreting the results represents a constant challenge for the already overburdened physician.

Gastroenterology is a dynamic field of medicine with many recent advances in imaging methods for cancer diagnosis. Computerized systems have gained significant traction in the last few years, with promising future prospects of reducing diagnosis time and workload on the performing physicians.

We describe here two image analysis systems that take advantage of the latest accomplishments in ANN and computerized decision making. The first system describes a computerized diagnosis system that takes into account a blend of both clinical and biological set of parameters, combining them with advanced image analysis of contrast-enhanced ultrasound imagery in an attempt to diagnose and classify primary liver malignancies.

The second part of the chapter is dedicated to another advanced imaging method in gastroenterology – wireless videocapsule endoscopy. The combination of different novel image analysis techniques described here greatly reduces interpretation times of an extensive investigation and helps doctors in the decision-making process.

CT Streba and M Ionescu have equally contributed to preparing the manuscript and share first authorship.

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Acknowledgments

The research presented here was partially financed by the following scientific grants: CNCS – UEFISCDI: Partnership project VIP SYSTEM, ID: 2011–3,2-0503, CNCS-UEFISCDI Partnership project, ID: PN-II-PT-PCCA-2013-4-1931 and CNCS-UEFISCDI Partnership project ID: PN-II-PT-PCCA-2013-4-1930.

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    Authors and Affiliations

    1. Research Center of Gastroenterology and Hepatology of Craiova, Craiova, Romania

      Costin Teodor Streba, Cristin Constantin Vere & Ion Rogoveanu

    2. Department of Bioinformatics, University of Medicine and Pharmacy of Craiova, Petru Rares St. No. 2-4, Craiova, Romania

      Costin Teodor Streba, Cristin Constantin Vere & Ion Rogoveanu

    3. Department of Gastroenterology, University of Medicine and Pharmacy of Craiova, Petru Rares St. No. 2-4, Craiova, Romania

      Mihaela Ionescu

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    1. Costin Teodor Streba
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    Correspondence to Cristin Constantin Vere .

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    Editors and Affiliations

    1. State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

      Dong-Qing Wei

    2. Center for Neurosciences, The Feinstein Institute for Medical Research, New York, USA

      Yilong Ma

    3. Department of Molecular Medicine, Hofstra Northwell School of Medicine, New York, USA

      William C.S. Cho

    4. Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, Hong Kong

      Qin Xu

    5. College of Computer Science & Technology, Jilin University, Changchun, Jilin, China

      Fengfeng Zhou

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    Streba, C.T., Ionescu, M., Vere, C.C., Rogoveanu, I. (2017). Artificial Intelligence and Automatic Image Interpretation in Modern Medicine. In: Wei, DQ., Ma, Y., Cho, W., Xu, Q., Zhou, F. (eds) Translational Bioinformatics and Its Application. Translational Medicine Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-024-1045-7_16

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