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Listen "Artificial Intelligence in Neurosurgery - a conversation"
Episode Synopsis
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Summary
This 2020 review article examines the application of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), in brain disease care. The authors systematically reviewed studies using AI for diagnosis, surgical treatment planning, intraoperative assistance, and postoperative assessment. Various AI techniques, including convolutional neural networks (CNNs) and support vector machines (SVMs), were analyzed across diverse data types like MRI and EEG. The review highlights the successes and challenges of using AI in neuroscience, emphasizing the need for larger datasets and more explainable algorithms. Finally, the authors address the importance of collaboration between AI researchers and clinicians for successful implementation.
Summary
This 2020 review article examines the application of artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), in brain disease care. The authors systematically reviewed studies using AI for diagnosis, surgical treatment planning, intraoperative assistance, and postoperative assessment. Various AI techniques, including convolutional neural networks (CNNs) and support vector machines (SVMs), were analyzed across diverse data types like MRI and EEG. The review highlights the successes and challenges of using AI in neuroscience, emphasizing the need for larger datasets and more explainable algorithms. Finally, the authors address the importance of collaboration between AI researchers and clinicians for successful implementation.
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