Diagnosing gangrenous cholecystitis on computed tomography using deep learning: A preliminary study.
Yoichi OkudaToshitaka IshiguroKeigo MorinagaArisa OharaAkihiro HaraShinji HashimotoShinji TakahashiTomoaki GoyaNobuhiro OhkohchiPublished in: Acute medicine & surgery (2022)
Deep learning had a better diagnostic performance than experienced reviewers in diagnosing gangrenous cholecystitis and has potential applicability for assisting in identifying indications for emergency surgery in the future.
Keyphrases
- deep learning
- computed tomography
- minimally invasive
- artificial intelligence
- convolutional neural network
- coronary artery bypass
- public health
- machine learning
- emergency department
- positron emission tomography
- magnetic resonance imaging
- healthcare
- current status
- surgical site infection
- contrast enhanced
- dual energy
- climate change