Simulation training in mammography with AI-generated images: a multireader study.

Journal: European radiology
PMID: 39134745

Abstract

OBJECTIVES: The interpretation of mammograms requires many years of training and experience. Currently, training in mammography, like the rest of diagnostic radiology, is through institutional libraries, books, and experience accumulated over time. We explore whether artificial Intelligence (AI)-generated images can help in simulation education and result in measurable improvement in performance of residents in training.

Authors

  • Krithika Rangarajan
    Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India.
  • Veeramakali Vignesh Manivannan
    IIT Delhi, Delhi, India.
  • Harpinder Singh
    AIIMS New Delhi, Delhi, India.
  • Amit Gupta
    Department of Cardiology, SKIMS, Srinagar, India. Electronic address: amitcardio12@gmail.com.
  • Hrithik Maheshwari
    IIT Delhi, Delhi, India.
  • Rishparn Gogoi
    IIT Delhi, Delhi, India.
  • Debashish Gogoi
    IIT Delhi, Delhi, India.
  • Rupam Jyoti Das
    IIT Delhi, Delhi, India.
  • Smriti Hari
    All India Institute of Medical Sciences, Ansari Nagar New Delhi, 110029, India.
  • Surabhi Vyas
    AIIMS New Delhi, Delhi, India.
  • Raju Sharma
    Department of Radio-Diagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
  • Shivam Pandey
    AIIMS New Delhi, Delhi, India.
  • V Seenu
    AIIMS New Delhi, Delhi, India.
  • Subhashis Banerjee
    Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi, India.
  • Vinay Namboodiri
    Indian Institute of Technology, Kanpur, Kanpur, India.
  • Chetan Arora
    Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi, India.

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