[Machine learning technologies in CT-based diagnostics and classification of intracranial hemorrhages].
A K SmorchkovaAnna KhoruzhayaElena I KremnevaAlexey Vladimirovich PetraikinPublished in: Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko (2023)
This review discusses pooled experience of creation, implementation and effectiveness of machine learning technologies in CT-based diagnosis of intracranial hemorrhages. The authors analyzed 21 original articles between 2015 and 2022 using the following keywords: «intracranial hemorrhage», «machine learning», «deep learning», «artificial intelligence». The review contains general data on basic concepts of machine learning and also considers in more detail such aspects as technical characteristics of data sets used for creation of AI algorithms for certain type of clinical task, their possible impact on effectiveness and clinical experience.
Keyphrases
- machine learning
- artificial intelligence
- big data
- deep learning
- randomized controlled trial
- systematic review
- computed tomography
- contrast enhanced
- primary care
- electronic health record
- convolutional neural network
- image quality
- magnetic resonance imaging
- optic nerve
- clinical trial
- quality improvement
- healthcare
- study protocol
- open label