Douglas Kondziolka

Health system-scale language models are all-purpose prediction engines

2023 · 408 Zit. · Nature

Medical large language models are vulnerable to data-poisoning attacks

2025 · 117 Zit. · Nature Medicine

In Reply: Big Data Research in Neurosurgery: A Critical Look at this Popular New Study Design

2018 · 42 Zit. · Neurosurgery

Methods and Impact for Using Federated Learning to Collaborate on Clinical Research

2022 · 19 Zit. · Neurosurgery

Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases

2023 · 8 Zit. · Neurosurgery

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

2025 · 5 Zit. · Neurosurgery

CNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical Model

2024 · 5 Zit. · Neurosurgery

Automating the Referral of Bone Metastases Patients With and Without the Use of Large Language Models

2025 · 2 Zit. · Neurosurgery

754 Prediction of 30-day All-Cause Readmission of Neurosurgery Patients Using Large Language Models

2024 · 0 Zit. · Neurosurgery

Evaluating the performance and fragility of large language models on the self-assessment for neurological surgeons

2025 · 0 Zit. · ArXiv.org

Identifying and mitigating bias in algorithms used to manage patients in a pandemic

2021 · 0 Zit. · arXiv (Cornell University)

Neuro Data Hub: A New Approach for Streamlining Medical Clinical Research

2025 · 0 Zit. · Neurosurgery Open

316 Neurosurgical Federated Learning: A Multi-Center Collaboration to Detect Intracranial Hemorrhage Without Directly Sharing Data

2023 · 0 Zit. · Neurosurgery

Evaluating the Performance and Fragility of Large Language Models on the Self-Assessment for Neurological Surgeons

2025 · 0 Zit. · Neurosurgery