Alfred Health

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study

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

2021 · 220 Zit.

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

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 105 Zit.

Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy

Haris Hakeem, Wei Feng, Zhibin Chen et al.

2022 · 85 Zit.

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs

James Hillis, Bernardo C. Bizzo, Sarah Mercaldo et al.

2022 · 59 Zit.

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study

Catherine M Jones, Luke Danaher, Michael Milne et al.

2021 · 46 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 43 Zit.

Prime Time for Artificial Intelligence in Interventional Radiology

Jarrel Seah, Tom Boeken, Marc Sapoval et al.

2022 · 39 Zit.

Evaluation of machine learning-based models for prediction of clinical deterioration: A systematic literature review

Sepideh Jahandideh, Guncag Ozavci, Berhe W. Sahle et al.

2023 · 37 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.

Informing a position statement on the use of artificial intelligence in dermatology in Australia

Liam J Caffery, Monika Janda, Robert E. Miller et al.

2022 · 17 Zit.

Improving skin cancer management with ARTificial intelligence: A pre-post intervention trial of an artificial intelligence system used as a diagnostic aid for skin cancer management in a real-world specialist dermatology setting

Claire Felmingham, Yan Pan, Yonatan Kok et al.

2022 · 15 Zit.

A Prospective Study Assessing Patient Perception of the Use Of Artificial Intelligence in Radiology

Warren Clements, Louisa Thong, Adil Zia et al.

2022 · 13 Zit.

Artificial intelligence and medical imaging: applications, challenges and solutions

Meng Law, Jarrel Seah, George Shih

2021 · 13 Zit.

Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 13 Zit.

Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

Sam Freeman, Amy Wang, Sudeep Saraf et al.

2025 · 13 Zit.