Deep Reinforcement Learning based Personalized Locomotion Planning for Lower-Limb Exoskeletons. - Javad Khodaei-Mehr; Eddie Guo; Mojtaba Akbari; Vivian K. Mushahwar; Mahdi Tavakoli (ICRA, 2023)

Automated Paper Screening for Clinical Reviews Using Large Language Models. - Eddie Guo; Mehul Gupta; Jiawen Deng; Ye-Jean Park; Mike Paget; Christopher Naugler (CoRR, 2023)

Speech-Based Human-Exoskeleton Interaction for Lower Limb Motion Planning. - Eddie Guo; Christopher Perlette; Mojtaba Sharifi; Lukas Grasse; Matthew S. Tata; Vivian K. Mushahwar; Mahdi Tavakoli (ICHMS, 2024)

Assessing the research landscape and clinical utility of large language models: a scoping review. - Ye-Jean Park; Abhinav Pillai; Jiawen Deng; Eddie Guo; Mehul Gupta; Mike Paget; Christopher Naugler (BMC Medical Informatics Decis. Mak., 2024)

Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. - Austin A. Barr; Joshua Quan; Eddie Guo; Emre Sezgin (Frontiers Artif. Intell., 2025)

Validation of automated paper screening for esophagectomy systematic review using large language models. - Rashi Ramchandani; Eddie Guo; Esra Rakab; Jharna Rathod; Jamie Strain; William Klement; Risa Shorr; Erin Williams; Daniel Jones; Sébastien Gilbert (PeerJ Comput. Sci., 2025)

Zero-shot generation of synthetic neurosurgical data with large language models. - Austin A. Barr; Eddie Guo; Emre Sezgin (CoRR, 2025)

Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation. - Austin A. Barr; Robert Rozman; Eddie Guo (CoRR, 2025)