Lola B. Chambless

Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model

2023 · 576 Zit.

Accuracy and Reliability of Chatbot Responses to Physician Questions

2023 · 397 Zit. · JAMA Network Open

Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance

2018 · 82 Zit. · Neurosurgery

The Impact of Race on Discharge Disposition and Length of Hospitalization After Craniotomy for Brain Tumor

2017 · 57 Zit. · World Neurosurgery

Big Data Defined: A Practical Review for Neurosurgeons

2019 · 27 Zit. · World Neurosurgery

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

2022 · 19 Zit. · Neurosurgery

Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model

2020 · 12 Zit. · Neurosurgery

Android application for determining surgical variables in brain-tumor resection procedures

2017 · 5 Zit. · Journal of Medical Imaging

409 Effect of Social Determinants of Health on Post-Discharge Adverse Outcomes After Surgical Resection of Meningioma

2023 · 1 Zit. · Neurosurgery

Using Logistic Regression and a Novel Machine Learning Technique to Predict Discharge Status after Craniotomy for Meningioma

2017 · 1 Zit. · Journal of Neurological Surgery Part B Skull Base

Predicting Discharge Disposition Following Meningioma Resection Using a Multiinstitutional Natural Language Processing Model

2020 · 1 Zit. · Journal of Neurological Surgery Part B Skull Base

386 An Externally Validated Machine Learning Ensemble Model Accurately Predicts Important Neurosurgical Outcomes

2017 · 0 Zit. · Neurosurgery

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

2023 · 0 Zit. · Neurosurgery