Artificial intelligence(AI)is promising for supporting and optimizing clinical practice in various fields while simultaneously arousing excitement and concerns about its benefits and limitations[1].Even in the field o...Artificial intelligence(AI)is promising for supporting and optimizing clinical practice in various fields while simultaneously arousing excitement and concerns about its benefits and limitations[1].Even in the field of epilepsy,the application of AI techniques has enabled the development of highly relevant tools for both diagnostic and therapeutic purposes.In particular,the diagnostic domain is on the verge of benefiting from AI-assisted tools that can enhance already widely utilized methodologies,such as electroencephalogram(EEG)pattern analysis,neuroimaging data interpretation and the integration of wearable or remote monitoring devices.展开更多
文摘Artificial intelligence(AI)is promising for supporting and optimizing clinical practice in various fields while simultaneously arousing excitement and concerns about its benefits and limitations[1].Even in the field of epilepsy,the application of AI techniques has enabled the development of highly relevant tools for both diagnostic and therapeutic purposes.In particular,the diagnostic domain is on the verge of benefiting from AI-assisted tools that can enhance already widely utilized methodologies,such as electroencephalogram(EEG)pattern analysis,neuroimaging data interpretation and the integration of wearable or remote monitoring devices.
