National Health and Medical Research Council
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Resilience in healthcare and clinical handover
Shelly Jeffcott, Joseph Ibrahim, Peter Cameron
2009 · 176 Zit.
Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis
Hollie Bendotti, Sheleigh Lawler, Gary Chan et al.
2023 · 45 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 · 11 Zit.
Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study
Hongkuan Wang, William Jewett Tucker, Jitendra Jonnagaddala et al.
2023 · 11 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 · 7 Zit.
Trustworthiness of studies investigating umbilical cord clamping and milking – Authors' reply
Kylie E Hunter, Sol Libesman, Jannik Aagerup et al.
2025 · 2 Zit.
Development and Validation of a Machine Learning Approach Leveraging Real-World Clinical Narratives as a Predictor of Survival in Advanced Cancer
Frank Lin, Osama S.M. Salih, Nina Scott et al.
2022 · 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.
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.