Princess Alexandra Hospital

Machine learning in clinical practice: prospects and pitfalls

Ian Scott, David Cook, Enrico Coiera et al.

2019 · 50 Zit.

How should artificial intelligence be used in Australian health care? Recommendations from a citizens’ jury

Stacy M. Carter, Yves Saint James Aquino, Lucy Carolan et al.

2024 · 21 Zit.

Using conversant artificial intelligence to improve diagnostic reasoning: ready for prime time?

Ian Scott, Tim Miller, Carmel Crock

2024 · 4 Zit.

08. PILOT STUDY OF ARTIFICIAL INTELLIGENCE SOFTWARE FOR PATIENTS' SELF-REFERRAL TO BREAST CLINIC

Ahsan Rao, Adeel Abbas Dhahri, Eshagh Mokhtari et al.

2020 · 0 Zit.

Never a lost cause: can artificial intelligence help embryologists when only poor-quality embryos are available?

Nina Gidel-Dissler, Guillaume Canat, Pierre Boyer et al.

2025 · 0 Zit.

Performance of Large Language Models and Top-Decile Doctors on an Undergraduate Ophthalmology Examination

Oluwaseun Akinniranye, Olusegun Akinniranye

2025 · 0 Zit.

ChatGPT and AI Hysteria: Why machine learning will change everything, and change nothing

Gina Velli

2023 · 0 Zit.

Clinicians’ perspectives on the design of early warning systems presenting AI-based multiple outputs for clinical deterioration: A qualitative analysis

Monica Noselli, Anton van der Vegt, Maxime Cordeil et al.

2025 · 0 Zit.

Re-imagining discharge summary training through artificial intelligence

Chun En Chua, Isaac K. S. Ng, Karina Yuen et al.

2026 · 0 Zit.