Projects

🚧 Under construction... more to come! 🚧

Medical Reasoning Capabilities of Large Language Models

figure 1

Limitations of large language models in clinical problem-solving arising from inflexible reasoning. Scientific Reports 2025.

Seizure Forecasting in Pediatric Epilepsy

Pediatric seizure forecasting

Kim J et al. Short-horizon neonatal seizure prediction using EEG-based deep learning. PLOS Digital Health. 2025.
Bernardo et al. Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy. Epilepsia. 2025.
 

Language Dysfunction in Developmental Epileptic Encephalopathy (DEE-SWAS)

UCSF CNKSR2 Natural History Study
 

Computational Modeling of Developmental Maturation of Neurophysiologic Activity

SGM

Bernardo et al. Simulation-based inference of developmental EEG maturation with the spectral graph model. Communications Physics. 2024.
 

Developing AI Tools for Epilepsy and Electrophysiology

AI-EEG

Kim et al. EEG-GPT: exploring capabilities of large language models for EEG classification and interpretation. Preprint.
 

Electrophysiologic Biomarkers in Pediatric Epilepsy

HFO

Bernardo D, et al. Interictal scalp fast ripple occurrence and high frequency oscillation slow wave coupling in epileptic spasms. Clinical Neurophysiology 2021.