Monash Health

Resilience in healthcare and clinical handover

Shelly Jeffcott, Joseph Ibrahim, Peter Cameron

2009 · 176 Zit.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 106 Zit.

ChatGPT and generative AI chatbots: challenges and opportunities for science, medicine and medical leaders

Erwin Loh

2023 · 98 Zit.

Artificial intelligence and clinical anatomical education: Promises and perils

Michelle D. Lazarus, Mandy Truong, Peter Douglas et al.

2022 · 93 Zit.

Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis

Mohamed Nasra, Rimsha Jaffri, Davor Pavlin‐Premrl et al.

2024 · 55 Zit.

Investigating the impact of innovative <scp>AI</scp> chatbot on post‐pandemic medical education and clinical assistance: a comprehensive analysis

Yi Xie, Ishith Seth, David J. Hunter‐Smith et al.

2023 · 52 Zit.

Applications of natural language processing at emergency department triage: A narrative review

Jonathon Stewart, Juan Lü, Adrian Goudie et al.

2023 · 39 Zit.

Enhancing clinician and patient understanding of radiology reports: a scoping review of international guidelines

Caitlin Farmer, Allison Bourne, Denise O’Connor et al.

2020 · 33 Zit.

Charting the potential of brain computed tomography deep learning systems

Quinlan D. Buchlak, Michael Milne, Jarrel Seah et al.

2022 · 30 Zit.

Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

Melissa Yeo, Bahman Tahayori, Hong Kuan Kok et al.

2023 · 28 Zit.

Attitudes towards artificial intelligence in emergency medicine

Jonathon Stewart, Sam Freeman, Ege Eroglu et al.

2023 · 27 Zit.

Accuracy and Efficiency of Machine Learning–Assisted Risk-of-Bias Assessments in “Real-World” Systematic Reviews

Anneliese Arno, James Thomas, Byron Wallace et al.

2022 · 24 Zit.

Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis

Jahan C. Penny‐Dimri, Christoph Bergmeir, Luke A. Perry et al.

2022 · 22 Zit.

Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy

Quinlan D. Buchlak, Cyril Tang, Jarrel Seah et al.

2023 · 20 Zit.

ChatGPT and generative AI in urology and surgery—A narrative review

Shane Qin, Bodie Chislett, Joseph Ischia et al.

2024 · 20 Zit.