Lyell McEwin Hospital

Artificial intelligence in orthopedic surgery: evolution, current state and future directions

Andrew P. Kurmis, Jamie R. Ianunzio

2022 · 100 Zit.

Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis

Bradley D. Menz, Nicole M. Kuderer, Stephen Bacchi et al.

2024 · 85 Zit.

Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method

Omer F. Ahmad, Yuichi Mori, Masashi Misawa et al.

2020 · 67 Zit.

Environmental impact of large language models in medicine

Oliver Kleinig, Sanjay Sinhal, Rushan Khurram et al.

2024 · 17 Zit.

Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries

Rudy Goh, Benjamin K. Cook, Brandon Stretton et al.

2024 · 15 Zit.

Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations

Joshua G. Kovoor, Stephen Bacchi, Prakriti Sharma et al.

2024 · 12 Zit.

How will the artificial intelligence algorithm work within the constraints of <i>this</i> healthcare system?

Brandon Stretton, Joshua G. Koovor, Lewis Hains et al.

2024 · 11 Zit.

Use of Large Language Models for Rapid Quantitative Feedback in Case-Based Learning: A Pilot Study

Carolyn L. Qian, Christina Gao, Seon Yeong Park et al.

2025 · 6 Zit.

Large language model‐supported interactive case‐based learning: a pilot study

Haelynn Gim, Benjamin K. Cook, Jasmin Le et al.

2025 · 4 Zit.

Epilepsy surgery candidate identification with artificial intelligence: An implementation study

Sheryn Tan, Rudy Goh, Alexander C. Wright et al.

2025 · 3 Zit.

The future is bright: artificial intelligence for trainee medical officers in <scp>Australia</scp> and <scp>New Zealand</scp>

Joshua G. Kovoor, Harry Smallbone, Alexander Jenkins et al.

2024 · 2 Zit.

Not Such a Long Way Off? Contemporary Artificial intelligence Performance Evaluation on Adult Medicine “Long Cases”

Christina Gao, J. Bellinge, Shaddy El‐Masri et al.

2025 · 2 Zit.

Better off alone? Artificial intelligence can demonstrate superior performance without clinician input

Joshua G. Kovoor, Daksh Tyagi, Ashley M. Hopkins et al.

2025 · 1 Zit.

Comparison of machine learning and traditional methods for prediction of adverse clinical events after percutaneous coronary intervention

A. Zaka, J. Gorcilov, D. Mutahar et al.

2024 · 1 Zit.

Artificial intelligence in perioperative medicine education: A feasibility test of case-based learning

Timothy Trewren, Nicholas Fitzgerald, Sarah Jaensch et al.

2025 · 1 Zit.