Early and accurate diagnosis of steatotic liver by artificial intelligence (AI)-supported ultrasonography.

Journal: European journal of internal medicine
PMID: 38490931

Abstract

OBJECTIVES: Steatotic liver disease is the most frequent chronic liver disease worldwide. Ultrasonography (US) is commonly employed for the assessment and diagnosis. Few information is available on the possible use of artificial intelligence (AI) to ameliorate the diagnostic accuracy of ultrasonography.

Authors

  • Sergio Santoro
    PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy; Eurisko Technology srl, Modugno, BA, Italy.
  • Mohamad Khalil
  • Hala Abdallah
    PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy; Clinica Medica "A. Murri", Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro" Medical School, Bari, Italy.
  • Ilaria Farella
    PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy; Clinica Medica "A. Murri", Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro" Medical School, Bari, Italy.
  • Antonino Noto
    Clinica Medica "A. Murri", Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro" Medical School, Bari, Italy.
  • Giovanni Marco Dipalo
    Centro Radiologico Lucano, Matera, Italy.
  • Piercarlo Villani
    Centro Radiologico Lucano, Matera, Italy.
  • Leonilde Bonfrate
    Clinica Medica "A. Murri", Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro" Medical School, Bari, Italy.
  • Agostino Di Ciaula
    PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy; Clinica Medica "A. Murri", Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro" Medical School, Bari, Italy.
  • Piero Portincasa
    PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy. Electronic address: piero.portincasa@uniba.it.

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