Queen Elizabeth Hospital

Artificial intelligence clinical trials and critical appraisal: a necessity

Joshua G. Kovoor, Stephen Bacchi, Aashray Gupta et al.

2023 · 20 Zit.

Aetiology of Preoperative Anaemia in Patients Undergoing Elective Cardiac Surgery—the Challenge of Pillar One of Patient Blood Management

J. Abraham, R. K. Sinha, Kathryn Robinson et al.

2017 · 15 Zit.

Part 1: Artificial intelligence technology in surgery

Lorwai Tan, David Tivey, Helena Kopunic et al.

2020 · 10 Zit.

Surgery’s Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery

Joshua G. Kovoor, Stephen Bacchi, Aashray Gupta et al.

2023 · 8 Zit.

LLM-assisted medical documentation: efficacy, errors, and ethical considerations in ophthalmology

Shrirajh Satheakeerthy, Daniel Jesudason, James Pietris et al.

2025 · 6 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.

An Introduction to Computational Intelligence in Medical Diagnosis

H.N. Teodorescu, L. C. Jain

2002 · 2 Zit.

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging

M.T. Chau, K.M. Spuur, S R White et al.

2026 · 1 Zit.

Surgical publications: detecting and preventing fraud

Michalis Koullouros, Guy J. Maddern

2022 · 0 Zit.

Comparative Performance of Large Language Models vs Clinicians in Creating Cardiology Ward Round Notes: Promises, Limitations, and Implications for Clinical Practice

J. Gorcilov, David Jesudason, Shrirajh Satheakeerthy et al.

2025 · 0 Zit.

Harnessing <scp>AI</scp> in decision‐making – proceed with caution

Adrian Anthony

2024 · 0 Zit.