OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 17.05.2026, 03:33

Lyle J. Palmer

537 Arbeiten49.178 Zitationen

University of South Australia · AU

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

AI recognition of patient race in medical imaging: a modelling study

2022 · 497 Zit. · The Lancet Digital Health

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

2021 · 268 Zit. · Scientific Reports

Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study

2022 · 87 Zit. · The Lancet Digital Health

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

2021 · 31 Zit. · arXiv (Cornell University)

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

2025 · 20 Zit. · Nature Medicine

Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis

2022 · 17 Zit. · Frontiers in Neurology

Artificial Intelligence in Medicine: Validation and Study Design

2019 · 13 Zit. · Artificial Intelligence in Medical Imaging

Docs are ROCs: A simple off-the-shelf approach for estimating average human performance in diagnostic studies

2020 · 5 Zit. · arXiv (Cornell University)

AI automated radiographic scoring in rheumatoid arthritis: Shedding light on barriers to implementation through comprehensive evaluation

2025 · 5 Zit. · Seminars in Arthritis and Rheumatism

Automated 5-year mortality prediction using deep learning and radiomics features from chest computed tomography

2017 · 4 Zit.

A scoping review of silent trials for medical artificial intelligence

2026 · 2 Zit. · Nature Health

Artificial Intelligence and CT Neuroimaging in Dementia and Psychotic Disorders: A Viewpoint

2026 · 1 Zit. · Journal of Imaging Informatics in Medicine

Automated 5-year Mortality Prediction using Deep Learning and Radiomics\n Features from Chest Computed Tomography

2016 · 1 Zit. · arXiv (Cornell University)

What can reader studies of radiologist use of AI models teach us about adaptation? A signal detection modelling exploration

2024 · 0 Zit.

Large-Scale Evaluation of the Influence of AI-use on Radiologist Performance using Signal Detection Theory

2024 · 0 Zit.