A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography.

Journal: BMC medical imaging
Published Date:

Abstract

BACKGROUND: Computed tomographic pulmonary angiography (CTPA) is the diagnostic standard for confirming pulmonary embolism (PE). Since PE is a life-threatening condition, early diagnosis and treatment are critical to avoid PE-associated morbidity and mortality. However, PE remains subject to misdiagnosis.

Authors

  • Pranav Ajmera
    Dr D.Y. Patil Medical College, Hospital and Research Center, Pune, India.
  • Amit Kharat
    Dr D.Y. Patil Medical College, Hospital and Research Center, Pune, India.
  • Jitesh Seth
    DeepTek Medical Imaging Pvt. Ltd., Pune, India.
  • Snehal Rathi
    Department of Radiology, Mahatma Gandhi Mission Medical College and Hospital, Navi Mumbai, India.
  • Richa Pant
    DeepTek Medical Imaging Pvt. Ltd., Pune, India. richa.pant@deeptek.ai.
  • Manish Gawali
    DeepTek Medical Imaging Pvt. Ltd., Pune, India.
  • Viraj Kulkarni
    DeepTek Medical Imaging Pvt. Ltd., Pune, India.
  • Ragamayi Maramraju
    Dr D.Y. Patil Medical College, Hospital and Research Center, Pune, India.
  • Isha Kedia
    Dr D.Y. Patil Medical College, Hospital and Research Center, Pune, India.
  • Rajesh Botchu
    Department of Radiology, Royal Orthopedic Hospital, Birmingham, UK.
  • Sanjay Khaladkar
    Dr D.Y. Patil Medical College, Hospital and Research Center, Pune, India.