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Can I read Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence on EtoBox?
Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence by Allen, Ben (author) is a Medicine article available to read on EtoBox.
What is Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence about?
Deep brain stimulation is a treatment that controls symptoms by changing brain activity. The complexity of how to best treat brain dysfunction with deep brain stimulation has spawned research into artificial intelligence approaches. Machine learning is a subset of artificial intelligence that uses computers to learn patterns in data and has many healthcare applications, such as an aid in diagnosis, personalized medicine, and clinical decision support. Yet, how machine learning models make decisions is often opaque. The spirit of explainable artificial intelligence is to use machine learning models that produce interpretable solutions. Here, we use topic modeling to synthesize recent literature on explainable artificial intelligence approaches to extracting domain knowledge from machine learning models relevant to deep brain stimulation. The results show that patient classification (i.e., diagnostic models, precision medicine) is the most common problem in deep brain stimulation studies that employ explainable artificial intelligence. Other topics concern attempts to optimize stimulation strategies and the importance of explainable methods. Overall, this review supports the potentia
Who reads Discovering Themes in Deep Brain Stimulation Research Using Explainable Artificial Intelligence?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Allen, Ben (author)
- Publisher
- MDPI AG
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)