Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional Ultrasound.

Journal: Ultrasound in medicine & biology
Published Date:

Abstract

Artificial Intelligence (AI) is a theoretical framework and systematic development of computational models designed to execute tasks that traditionally require human cognition. In medical imaging, AI is used for various modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and pathologies across multiple organ systems. However, integrating AI into medical ultrasound presents unique challenges compared to modalities like CT and MRI due to its operator-dependent nature and inherent variability in the image acquisition process. AI application to ultrasound holds the potential to mitigate multiple variabilities, recalibrate interpretative consistency, and uncover diagnostic patterns that may be difficult for humans to detect. Progress has led to significant innovation in medical ultrasound-based AI applications, facilitating their adoption in various clinical settings and for multiple diseases. This manuscript primarily aims to provide a concise yet comprehensive exploration of current and emerging AI applications in medical ultrasound within abdominal, musculoskeletal, and obstetric & gynecological and interventional medical ultrasound. The secondary aim is to discuss present limitations and potential challenges such technological implementations may encounter.

Authors

  • Ole Graumann
  • Wu Cui Xin
    Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Adrian Goudie
    Department of Emergency Medicine, Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
  • Michael Blaivas
    Department of Emergency Medicine, University of South Carolina School of Medicine, Columbia, South Carolina, USA.
  • Barbara Braden
    Translational Gastroenterology Unit, Nuffield Department of Medicine, Experimental Medicine Div., John Radcliffe Hospital, University of Oxford, Oxford, UK.
  • Susan Campbell Westerway
    School of Dentistry & Medical Sciences, Charles Sturt University, New South Wales, Australia.
  • Maria Cristina Chammas
    Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Yi Dong
    Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Odd Helge Gilja
    National Centre for Ultrasound in Gastroenterology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Norway.
  • Peter Ching-Chang Hsieh
    Chang Gung Memorial Hospital, Taipei, Taiwan.
  • An Jiang Tian
    Department of Ultrasound Medicine, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Ping Liang
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Kathleen Möller
    Gastroenterology, Sana Hospital Lichtenberg, Berlin, Germany.
  • Christian Pállson Nolsøe
    Center for Surgical Ultrasound, Dep of Surgery, Zealand University Hospital, Køge Institute for Clinical Medicine, University of Copenhagen, Denmark.
  • Adrian Săftoiu
    Research Center of Gastroenterology and Hepatology, University of Medicine and Pharmacy Craiova, Romania. adriansaftoiu@gmail.com.
  • Christoph Frank Dietrich
    Department General Internal Medicine (DAIM), Hospitals Hirslanden Bern Beau Site, Salem and Permanence, Bern, Switzerland. Electronic address: c.f.dietrich@googlemail.com.

Keywords

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