Macquarie University

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 444 Zit.

Using artificial intelligence in academic writing and research: An essential productivity tool

Mohamed Khalifa, Mona Albadawy

2024 · 393 Zit.

AI in diagnostic imaging: Revolutionising accuracy and efficiency

Mohamed Khalifa, Mona Albadawy

2024 · 375 Zit.

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

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

2019 · 321 Zit.

The ethical, legal and social implications of using artificial intelligence systems in breast cancer care

Stacy M. Carter, Wendy Rogers, Khin Than Win et al.

2019 · 292 Zit.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

Massimo Garbuio, Nidthida Lin

2018 · 266 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 244 Zit.

Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)

On behalf of the founding members of the ICASR group, Elaine Beller, Justin Clark et al.

2018 · 193 Zit.

Evaluation framework to guide implementation of AI systems into healthcare settings

Sandeep Reddy, Wendy Rogers, Ville‐Petteri Mäkinen et al.

2021 · 192 Zit.

Exploring stakeholder attitudes towards AI in clinical practice

Ian Scott, Stacy M. Carter, Enrico Coiera

2021 · 174 Zit.

Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions

Mohamed Khalifa, Mona Albadawy

2024 · 154 Zit.

How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey

Matt Bower, Jodie Torrington, Jennifer W. M. Lai et al.

2024 · 146 Zit.

GPT-3 and InstructGPT: technological dystopianism, utopianism, and “Contextual” perspectives in AI ethics and industry

Anastasia Chan

2022 · 143 Zit.

Challenges of developing a digital scribe to reduce clinical documentation burden

Juan C. Quiroz, Liliana Laranjo, A. Baki Kocaballı et al.

2019 · 142 Zit.

The ethical use of artificial intelligence in human resource management: a decision-making framework

Sarah Bankins

2021 · 138 Zit.