Westmead Institute
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 104 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 · 21 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.
Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis
Ammar Zaka, D. Mutahar, J. Gorcilov et al.
2024 · 18 Zit.
The Potential for a Chat-Based Artificial Intelligence Model to Facilitate Educational Messaging on Hypertension
Edel O’Hagan, Daniel McIntyre, Liliana Laranjo
2023 · 16 Zit.
Use of a Machine Learning Program to Correctly Triage Incoming Text Messaging Replies From a Cardiovascular Text–Based Secondary Prevention Program: Feasibility Study
Nicole Lowres, Andrew Duckworth, Julie Redfern et al.
2020 · 15 Zit.
Coordinating Health Care With Artificial Intelligence–Supported Technology for Patients With Atrial Fibrillation: Protocol for a Randomized Controlled Trial
Liliana Laranjo, Tim Shaw, Ritu Trivedi et al.
2022 · 13 Zit.
Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis
Ritu Trivedi, Tim Shaw, Brodie Sheahen et al.
2025 · 8 Zit.
Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial
Ritu Trivedi, Liliana Laranjo, Simone Marschner et al.
2025 · 4 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.
Precision vs recall in surgical AI: Performance and limitations of tabular foundation model for perioperative classification and risk prediction
Junqi Cui, Ze He, E. Lim et al.
2026 · 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.
Uncertain hands: ethical implications of AI dependency in medical education
Enoch Chi Ngai Lim, Chi Eung Danforn Lim
2026 · 0 Zit.