Nazanin Esmaili

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

2019 · 224 Zit. · Neurosurgical Review

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study

2021 · 220 Zit. · The Lancet Digital Health

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

Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy

2023 · 20 Zit. · European Radiology

Ethical thinking machines in surgery and the requirement for clinical leadership

2020 · 17 Zit. · The American Journal of Surgery

Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic review

2021 · 10 Zit. · European Journal of Orthopaedic Surgery & Traumatology

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