New South Wales Department of Health

Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Seng Hansun, Ahmadreza Argha, Siaw‐Teng Liaw et al.

2023 · 74 Zit.

How to improve assessments of publication integrity

Andrew Grey, Alison Avenell, A. A. Klein et al.

2024 · 11 Zit.

Artificial intelligence and public health: prospects, hype and challenges

Don Nutbeam, Andrew Milat

2025 · 11 Zit.

Envisioning the future of clinical analytics: a modified Delphi process in New South Wales, Australia

Kim Sutherland, Wilson Yeung, Yoke Mak et al.

2020 · 9 Zit.

Building Research Support Capacity across Human Health Biobanks during the COVID-19 Pandemic

Jennifer A. Byrne, Jane Carpenter, Candace Carter et al.

2021 · 8 Zit.

Potential use of deep learning techniques for postmortem imaging—moving beyond postmortem radiology

Jack Garland, Benjamin Ondruschka, Rexson Tse

2020 · 8 Zit.

Natural language processing in the intensive care unit: A scoping review

Julia Pilowsky, Jae-Won Choi, Aldo Saavedra et al.

2024 · 7 Zit.

Nursing in the digital age: the importance of health technology and its advancement in nursing and healthcare

Susannah Jonathan

2024 · 6 Zit.

Implementing artificial intelligence in breast cancer screening: Women’s preferences

Alison Pearce, Stacy M. Carter, Helen Frazer et al.

2025 · 6 Zit.

Big data and artificial intelligence in future patient management. How is it all started? Where are we at now? Quo tendimus?

Ashraf Mina

2020 · 5 Zit.

Towards human-AI collaboration in radiology: a multidimensional evaluation of the acceptability of AI for chest radiograph analysis in supporting pulmonary tuberculosis diagnosis

David Hua, Neysa Petrina, Alan J Sacks et al.

2024 · 5 Zit.

<i>Big data</i> e inteligencia artificial en el futuro manejo de pacientes. ¿Por dónde empezar? ¿En qué punto nos encontramos? ¿Quo tendimus?

Ashraf Mina

2020 · 5 Zit.

Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records

Hong Dai, Tatheer Hussain Mir, Ching-Tai Chen et al.

2025 · 3 Zit.

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging

M.T. Chau, K.M. Spuur, S R White et al.

2026 · 3 Zit.

Incidental findings in brain imaging research: spotlight on ethical considerations

Sonu Bhaskar

2022 · 3 Zit.