Using Artificial Intelligence Applications in Neurology to the Field: Kathryn A. Davis, MD, MSc
The associate professor of neurology and director of the Penn Epilepsy Center at the University of Pennsylvania talked about the potential of using artificial intelligence in the field of neurology as part of an upcoming session at the 2023 AAN annual meeting. [WATCH TIME: 5 minutes]
WATCH TIME: 5 minutes
"When you're using an AI-based approach to analyze any type of bigger data set or multimodal data set, it’s important that you understand your data set well. If you have biases in your data set, or errors in your data collection that you're feeding into the machine, then the results are not going to be valid or clinically translatable."
In epilepsy, artificial intelligence (AI) algorithms have the potential to analyze electroencephalogram (EEG) signals for seizure predictions prior to their occurrence. AI also can evaluate EEG’s during the event of a seizure to differentiate the different types of seizures. Notably, AI can analyze data in medical records and histories such as in genetics and imaging, to develop more personalized patient care plans.1
Kathryn A. Davis, MD, MSc, will present a hot topic talk on the promise of AI, and its potential in the field of neurology, during a plenary session at the 2023 American Academy of Neurology (AAN) Annual Meeting, April 22-27, in Boston, Massachusetts. In her talk, she will speak on the different challenges with using AI, like biases in datasets, or errors in data collection, as well as maintaining the safety of patients and the privacy of data. The rest of the session will feature the latest, cutting-edge translational research in relation to clinical issues of importance. Davis and two other speakers will provide summaries of their recent findings and explain the significance of their clinical implications.
Prior to the meeting, Davis, an associate professor of Neurology and director of the Penn Epilepsy Center, at the University of Pennsylvania, sat down with NeurologyLive® in an interview to overview her presentation. She also spoke about the potential challenges that occur when using AI to analyze data sets for a clinical trial, as well as the uses of AI for patients in having access to participate in research.
Click here for more coverage on 2023 AAN.
