St. Luke's International University

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications

Farah Magrabi, Elske Ammenwerth, Jytte Brender McNair et al.

2019 · 317 Zit.

Privacy preserving strategies for electronic health records in the era of large language models

Jitendra Jonnagaddala, Zoie Shui-Yee Wong

2025 · 46 Zit.

Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews

Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki et al.

2024 · 33 Zit.

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision

Kathrin Cresswell, Michael Rigby, Farah Magrabi et al.

2023 · 20 Zit.

Telenursing and artificial intelligence for oncology nursing

Tomoko Kamei

2022 · 14 Zit.

Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Kathrin Cresswell, Nicolette F. de Keizer, Farah Magrabi et al.

2024 · 13 Zit.

Large Language Model Demonstrates Human-Comparable Sensitivity in Initial Screening of Systematic Reviews: A Semi-Automated Strategy Using GPT-3.5

Kentaro Matsui, Tomohiro Utsumi, Yumi Aoki et al.

2023 · 7 Zit.

A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety

Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro

2025 · 2 Zit.

Validation and Evaluation as Essentials to Ensuring Safe AI Health Applications

Michael Rigby, Elisavet Andrikopoulou, Mirela Prgomet et al.

2025 · 0 Zit.