OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 12.03.2026, 01:06

Australian Research Council

11.878 Arbeiten1.741.198 Zitationen
Land: AUTyp: government

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data

Tuc Nguyen, M. Abou Dakka, Sonya M. Diakiw et al.

2022 · 65 Zit.

Does artificial intelligence have a role in the IVF clinic?

Darren J X Chow, Philip Wijesinghe, Kishan Dholakia et al.

2021 · 49 Zit.

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

Sebastian Isbanner, Pauline O’Shaughnessy, David Steel et al.

2022 · 44 Zit.

Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations

Silvia Burti, Tommaso Banzato, Simon Coghlan et al.

2024 · 32 Zit.

Artificial intelligence: Augmenting telehealth with large language models

Centaine L. Snoswell, Aaron Snoswell, Jaimon T. Kelly et al.

2023 · 32 Zit.

Automated detection of poor-quality data: case studies in healthcare

M. Abou Dakka, Tuc Nguyen, Jonathan M. M. Hall et al.

2021 · 30 Zit.

Ethics of artificial intelligence in prenatal and pediatric genomic medicine

Simon Coghlan, Christopher Gyngell, Danya F. Vears

2023 · 27 Zit.

Ethics of using artificial intelligence (AI) in veterinary medicine

Simon Coghlan, Thomas P. Quinn

2023 · 26 Zit.

Lost in translation: the lack of agreement between surgeons and scientists regarding biomaterials research and innovation for treating bone defects

Markus Laubach, Stephen Whyte, Ho Fai Chan et al.

2024 · 14 Zit.

Indigenous peoples and artificial intelligence: A systematic review and future directions

Maneesha Perera, Rajith Vidanaarachchi, Sangeetha Chandrashekeran et al.

2025 · 10 Zit.

How microrobots should be translated: A clinical and value‐centered readiness framework

Hakan Ceylan, Edoardo Sinibaldi, Sanjay Misra et al.

2026 · 1 Zit.

P–782 A natural language processing approach of global survey results on what the embryologist thinks and faces

Angelin Susan Varghese, Sharyn Esteves, Borut Kovačič et al.

2021 · 0 Zit.

Plenary Speech

Rajat Vashistha

2025 · 0 Zit.