National Health and Medical Research Council

The application of artificial intelligence (AI) techniques to identify frailty within a residential aged care administrative data set

Rachel C. Ambagtsheer, Niusha Shafiabady, Elsa Dent et al.

2020 · 76 Zit.

How individual participant data meta-analyses have influenced trial design, conduct, and analysis

Jayne F. Tierney, Jean‐Pierre Pignon, Francois Gueffyier et al.

2015 · 57 Zit.

Misconduct in medical research: whose responsibility?

Kerry J. Breen

2003 · 43 Zit.

Artificial intelligence across oncology specialties: current applications and emerging tools

John Kang, Kyle J. Lafata, Ellen Kim et al.

2024 · 10 Zit.

Digital health and artificial intelligence in kidney research: a report from the 2020 Kidney Disease Clinical Trialists (KDCT) meeting

Tae Won Yi, Chris Laing, Matthias Kretzler et al.

2021 · 7 Zit.

INSPECT-SR: a tool for assessing trustworthiness of randomised controlled trials

Jack Wilkinson, Calvin Heal, Ella Flemyng et al.

2025 · 5 Zit.

Trustworthiness of studies investigating umbilical cord clamping and milking – Authors' reply

Kylie E Hunter, Sol Libesman, Jannik Aagerup et al.

2025 · 1 Zit.

Impact of artificial intelligence (AI) decision support on clinical trial participation: A before-after implementation study on a nationwide molecular tumor board.

Frank Lin, John P. Grady, Christine E. Napier et al.

2024 · 1 Zit.

Real-world evaluation of the use of melanoma risk prediction tools by clinicians in Australia: a mixed-methods study

Gillian Reyes-Marcelino, Rehana Salam, D. Nicolás Espinoza et al.

2026 · 0 Zit.

Delivering Data-Driven Precision and Equitable Artificial Intelligence Decision Tools in Oncology: Exploring the Informarker Concept

Frank Lin

2023 · 0 Zit.

A Scoping Review of Published and Ongoing Prospective Meta-Analyses in Health Research: Study Protocol

Thomas E. Love, Xiang Li, James X Sotiropoulos et al.

2023 · 0 Zit.