Australian e-Health Research Centre
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
ChatGPT Hallucinates when Attributing Answers
Guido Zuccon, Bevan Koopman, Razia S. Shaik
2023 · 44 Zit.
Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Jinghui Liu, Daniel Capurro, Anthony Nguyen et al.
2023 · 42 Zit.
Introducing Edna: A trainee chatbot designed to support communication about additional (secondary) genomic findings
David Ireland, DanaKai Bradford, Emma Szepe et al.
2020 · 38 Zit.
“Note Bloat” impacts deep learning-based NLP models for clinical prediction tasks
Jinghui Liu, Daniel Capurro, Anthony Nguyen et al.
2022 · 35 Zit.
Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports
Hamed Hassanzadeh, Anthony Nguyen, Sarvnaz Karimi et al.
2018 · 25 Zit.
Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework
Hang Min, Yousef Rabi, Ashish Wadhawan et al.
2023 · 23 Zit.
We need to chat about artificial intelligence
Enrico Coiera, Karin Verspoor, David Hansen
2023 · 21 Zit.
Automated classification of limb fractures from free-text radiology reports using a clinician-informed gazetteer methodology
Amol Wagholikar
2013 · 16 Zit.
Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review
Ashley Gillman, Febrio Lunardo, Joseph Prinable et al.
2021 · 10 Zit.
Benchmarking the most popular XAI used for explaining clinical predictive models: Untrustworthy but could be useful
Aida Brankovic, David Cook, Jessica Sharmin Rahman et al.
2024 · 8 Zit.
Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports
Jinghui Liu, Bevan Koopman, Nathan J. Brown et al.
2024 · 8 Zit.
Automated Reconciliation of Radiology Reports and Discharge Summaries.
Bevan Koopman, Guido Zuccon, Amol Wagholikar et al.
2015 · 7 Zit.
A Comparison of Saliency Methods for Deep Learning Explainability
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz et al.
2021 · 6 Zit.
Challenges for implementing generative artificial intelligence (<scp>GenAI</scp>) into clinical healthcare
Lynden Roberts, Rajiv Jayasena, Sankalp Khanna et al.
2025 · 6 Zit.
Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR
Aida Brankovic, Wenjie Huang, David Cook et al.
2024 · 3 Zit.