We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

Objective A realistic seizure diary simulator is currently unavailable for many research
needs, including clinical trial analysis and evaluation of seizure detection and seizure …

Objective This study was undertaken to evaluate how the challenges in the recruitment and
retention of participants in clinical trials for focal onset epilepsy have changed over time …

Objective To evaluate the exploratory time to exceed pre‐randomization seizure count (T‐
PSC) in the determination of efficacy of adjunctive perampanel in participants with primary …

Machine learning methods are widely used within the medical field. However, the reliability
and efficacy of these models is difficult to assess, making it difficult for researchers to identify …

Objective Epilepsy management employs self‐reported seizure diaries, despite evidence of
seizure underreporting. Wearable and implantable seizure detection devices are now …

Machine learning in medical ultrasound faces a major challenge: the prohibitive costs of
producing and annotating clinical data. Optimizing the data collection and annotation will …