Insights into ALD and AUD diagnosis and prognosis: Exploring AI and multimodal data streams.

Journal: Hepatology (Baltimore, Md.)
Published Date: May 14, 2024

Abstract

The rapid evolution of artificial intelligence and the widespread embrace of digital technologies have ushered in a new era of clinical research and practice in hepatology. Although its potential is far from realization, these significant strides have generated new opportunities to address existing gaps in the delivery of care for patients with liver disease. In this review, we discuss how artificial intelligence and opportunities for multimodal data integration can improve the diagnosis, prognosis, and management of alcohol-associated liver disease. An emphasis is made on how these approaches will also benefit the detection and management of alcohol use disorder. Our discussion encompasses challenges and limitations, concluding with a glimpse into the promising future of these advancements.

Authors

  • Praveena Narayanan
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Tiffany Wu
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Vijay H Shah
    Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MA, USA.
  • Brenda L Curtis
    Technology and Translational Research Unit, National Institute on Drug Abuse Intramural Research Program, National Institute of Health, Baltimore, Maryland, USA.

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