Quinlan D. Buchlak

Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review

2019 · 222 Zit. · Neurosurgical Review

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

2021 · 46 Zit. · BMJ Open

Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review

2021 · 31 Zit. · Acta neurochirurgica. Supplementum

Charting the potential of brain computed tomography deep learning systems

2022 · 30 Zit. · Journal of Clinical Neuroscience

Ethical thinking machines in surgery and the requirement for clinical leadership

2020 · 17 Zit. · The American Journal of Surgery

Focusing a Bioethics Lens on the Development and Use of Artificial Intelligence in Medicine and Neurosurgery

2024 · 1 Zit. · Advances in experimental medicine and biology

401 Applying Machine Learning for Risk Stratification and Acute Clinical Outcome Prediction Amongst Aneurysmal Subarachnoid Hemorrhage Patients

2024 · 1 Zit. · Neurosurgery

From Optional Tool to Ethical Expectation: Machine Learning Driven Clinical Decision Support in Surgery

2026 · 0 Zit. · SSRN Electronic Journal

The Declaration of Sydney: Ethical, Legal, and Professional Foundations of Computational Neurosurgery

2026 · 0 Zit. · SSRN Electronic Journal

In Reply to the Letter to the Editor Regarding “Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning Algorithms”

2020 · 0 Zit. · World Neurosurgery