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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.