The potential of an artificial intelligence for diagnosing MRI images in rectal cancer: multicenter collaborative trial.
Atsushi HamabeIchiro TakemasaMasayuki IshiiKoichi OkuyaKoya HidaDaisuke NishizakiAtsuhiko SumiiShigeki ArizonoShigeshi KohnoKoji TokunagaHirotsugu NakaiYoshiharu SakaiMasahiko WatanabePublished in: Journal of gastroenterology (2024)
Proper imaging conditions for MRI can enhance the accuracy of mrAI, which has the potential to provide feedback to radiologists without overestimating tumor stage.
Keyphrases
- artificial intelligence
- deep learning
- machine learning
- rectal cancer
- big data
- contrast enhanced
- magnetic resonance imaging
- diffusion weighted imaging
- high resolution
- clinical trial
- locally advanced
- study protocol
- phase iii
- cross sectional
- magnetic resonance
- optical coherence tomography
- squamous cell carcinoma
- phase ii
- radiation therapy
- climate change