Westmead Institute

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners

A. Baki Kocaballı, Kiran Ijaz, Liliana Laranjo et al.

2020 · 98 Zit.

Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review

Aileen Zeng, Nehmat Houssami, Naomi Noguchi et al.

2024 · 19 Zit.

The Potential for a Chat-Based Artificial Intelligence Model to Facilitate Educational Messaging on Hypertension

Edel O’Hagan, Daniel McIntyre, Liliana Laranjo

2023 · 13 Zit.

Unpacking the artificial intelligence toolbox for embryo ploidy prediction

Münevver Serdarogullari, George Liperis, Kashish Sharma et al.

2023 · 3 Zit.

Deep learning: Integrating artificial intelligence into the sonography curriculum

Paul Stoodley, Donna Oomens, Catherine Robinson

2024 · 1 Zit.

P-117 Retrospectively Comparing Non-Invasive artificial intelligence (AI) Models and Morphological Assessments for Embryo Euploidy Prediction: Insights from iDAScore, KIDScore, and CHLOE-EQ

Z Atayurt, George Liperis, Georges Raad et al.

2025 · 0 Zit.

Responsible use of AI in healthcare: an Australian perspective on promise, perils, and professional duties

Eunsung Lim, Chi Eung Danforn Lim

2025 · 0 Zit.

Federated deep learning enables cancer subtyping by proteomics

Zhaoxiang Cai, Emma L. Boys, Zainab Noor et al.

2024 · 0 Zit.

Machinometrics, a new framework towards explainable machine learning in healthcare

Jionghui Lin, Shwetha Hegde, Daochang Liu et al.

2025 · 0 Zit.