An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI.
Kelvin A WongA HatefJohn L RyuXuan V NguyenMina S MakaryLuciano M PrevedelloPublished in: AJNR. American journal of neuroradiology (2022)
Our model achieved high accuracy on a standard based on physician consensus. It showed promise as a clinical decision support tool to reduce the workload by automating the protocolling of a sizeable portion of examinations while maintaining high accuracy for the remaining examinations.
Keyphrases
- clinical decision support
- artificial intelligence
- big data
- electronic health record
- machine learning
- deep learning
- primary care
- emergency department
- randomized controlled trial
- magnetic resonance imaging
- white matter
- contrast enhanced
- computed tomography
- resting state
- clinical practice
- magnetic resonance
- diffusion weighted imaging
- cerebral ischemia
- subarachnoid hemorrhage