ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence.

Journal: Medical ultrasonography
PMID: 38150678

Abstract

AIMS: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) serves as the baseline.

Authors

  • Ismail Mese
    Department of Radiology, Erenkoy Training and Research Hospital for Psychiaty and Neurological Diseases, 19 Mayıs, Sinan Ercan Cd. No:23, Kadıköy, Istanbul, 34736, Turkey. ismail_mese@yahoo.com.
  • Neslihan Gokmen Inan
    Department of Statistics, Mimar Sinan Fine Arts University, 3Department of Radiology, Istanbul Medical Faculty, Istanbul University.
  • Ozan Kocadagli
    Department of Statistics, Mimar Sinan Fine Arts University, 3Department of Radiology, Istanbul Medical Faculty, Istanbul University.
  • Artur Salmaslioglu
    Department of Radiology, Istanbul Medical Faculty, Istanbul University.
  • Duzgun Yildirim
    Acibadem Mehmet Ali Aydinlar University, School of Vocational Sciences, Department of Radiology, Istanbul, 34457, Turkey. Electronic address: duzgun.yildirim@acibadem.com.

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