Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

Journal: Frontiers in artificial intelligence
Published Date:

Abstract

One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The medical records, lab results, radiographs, endoscopic images, tissue samples, and medical histories of patients with gastrointestinal malignancies provide an enormous amount of medical data. There are encouraging signs that the advent of artificial intelligence could enhance the treatment of gastrointestinal issues with this data. Deep learning algorithms can swiftly and effectively analyze unstructured, high-dimensional data, including texts, images, and waveforms, while advanced machine learning approaches could reveal new insights into disease risk factors and phenotypes. In summary, artificial intelligence has the potential to revolutionize various features of gastrointestinal cancer care, such as early detection, diagnosis, therapy, and prognosis. This paper highlights some of the many potential applications of artificial intelligence in this domain. Additionally, we discuss the present state of the discipline and its potential future developments.

Authors

  • Abolfazl Akbari
    Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Maryam Adabi
    Infectious Ophthalmologic Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Mohsen Masoodi
    Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Abolfazl Namazi
    Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Fatemeh Mansouri
    Department of Microbiology, Faculty of Sciences, Qom Branch, Islamic Azad University, Qom, Iran.
  • Seidamir Pasha Tabaeian
    Colorectal Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Zahra Shokati Eshkiki
    Alimentary Tract Research Center, Clinical Sciences Research Institute, Imam Khomeini Hospital, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Keywords

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