The Royal Melbourne Hospital

Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy

Hamed Asadi, Richard Dowling, Bernard Yan et al.

2014 · 219 Zit.

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures

Matthew Adams, Weijia Chen, David Holcdorf et al.

2018 · 141 Zit.

How to Create a Great Radiology Report

Michael Hartung, Ian Bickle, Frank Gaillard et al.

2020 · 110 Zit.

Harnessing the digital potential of the next generation of health professionals

Brian Li Han Wong, Mark P. Khurana, Robert D. Smith et al.

2021 · 65 Zit.

Personalized risk prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis using a machine-learning model

Feng Wang, Yuanhanqing Huang, Yong Xia et al.

2020 · 42 Zit.

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau et al.

2021 · 41 Zit.

Development and Validation of a Postprocedural Model to Predict Outcome After Endovascular Treatment for Ischemic Stroke

Vicky Chalos, Esmée Venema, Maxim J.H.L. Mulder et al.

2023 · 37 Zit.

Machine learning models for decision support in epilepsy management: A critical review

Eliot D. Smolyansky, Haris Hakeem, Zongyuan Ge et al.

2021 · 35 Zit.

Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis

Jahan C. Penny‐Dimri, Christoph Bergmeir, Luke A. Perry et al.

2022 · 22 Zit.

Applications of natural language processing tools in the surgical journey

Khang Duy Ricky Le, Samuel Tay, Kay Tai Choy et al.

2024 · 20 Zit.

Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol

Joanna F. Dipnall, Richard S. Page, Lan Du et al.

2021 · 18 Zit.

Evaluation of a chat <scp>GPT</scp> generated patient information leaflet about laparoscopic cholecystectomy

Elizabeth Lockie, Julian Choi

2023 · 17 Zit.

Impact of Different Artificial Intelligence User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs

Jennifer S. N. Tang, Jeffrey Lai, J. Bui et al.

2023 · 16 Zit.

Bridging the Gap: Challenges and Strategies for the Implementation of Artificial Intelligence-based Clinical Decision Support Systems in Clinical Practice

Niels Peek, Daniel Capurro, Vlada Rozova et al.

2024 · 13 Zit.

Data-driven overdiagnosis definitions: A scoping review

Prabodi Senevirathna, Douglas E. V. Pires, Daniel Capurro

2023 · 11 Zit.