The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma.
Yusuke ToyoharaKenbun SoneKatsuhiko NodaKaname YoshidaShimpei KatoMasafumi KaiumeAyumi TaguchiRyo KurokawaYutaka OsugaPublished in: Journal of gynecologic oncology (2023)
Our newly established AI system automatically extracts tumor sites from MRI images and diagnoses them as uterine sarcomas without human intervention. Its accuracy is comparable to that of a radiologist. With further validation, the system could be applied for diagnosis of other diseases. Further improvement of the system's accuracy may enable its clinical application in the future.
Keyphrases
- artificial intelligence
- deep learning
- magnetic resonance imaging
- machine learning
- big data
- contrast enhanced
- convolutional neural network
- randomized controlled trial
- endothelial cells
- diffusion weighted imaging
- patients undergoing
- induced pluripotent stem cells
- current status
- pluripotent stem cells
- magnetic resonance