Neurosciences Institute

Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations

Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.

2023 · 197 Zit.

Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators

Rohaid Ali, Oliver Y. Tang, Ian D. Connolly et al.

2023 · 72 Zit.

Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

Austin Chou, Abel Torres‐Espín, Nikos Kyritsis et al.

2022 · 22 Zit.

A rationale and framework for seeking remote electronic or phone consent approval in endovascular stroke trials – special relevance in the COVID-19 environment and beyond

Ansaar Rai, Donald Frei

2020 · 17 Zit.

Augmenting Large Language Models With Automated, Bibliometrics-Powered Literature Search for Knowledge Distillation: A Pilot Study for Common Spinal Pathologies

David B. Kurland, Daniel Alexander Alber, Adhith Palla et al.

2025 · 5 Zit.

Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach

Rohaid Ali, Ian D. Connolly, Oliver Y. Tang et al.

2024 · 3 Zit.

Expert-integrated automated machine learning uncovers hemodynamic predictors in spinal cord injury

Austin Chou, Abel Torres‐Espín, Nikos Kyritsis et al.

2021 · 1 Zit.

In Reply: Augmenting Large Language Models With Automated, Bibliometrics-Powered Literature Search for Knowledge Distillation: A Pilot Study for Common Spinal Pathologies

David B. Kurland, Daniel Alexander Alber, Eric K. Oermann

2025 · 0 Zit.

MedEvalarena: A Self-Generated, Peer-Judged Benchmark for Medical Reasoning

Preethi Prem, Kie Shidara, Vikasini Kuppa et al.

2026 · 0 Zit.

Abstract 328: Accessibility to Mechanical Thrombectomy in the United States: A 2018–2022 Trend Analysis

Nasathapot Namphol, Ashutosh P. Jadhav, Shashvat M. Desai et al.

2025 · 0 Zit.