Carolyn Horst

NIHR Academic Clinical Lecturer

King's College London

United Kingdom

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Dr. Carolyn Horst is an NIHR Academic Clinical Lecturer at King's College London. Her research focuses on medical imaging, artificial intelligence in healthcare, and lung cancer screening. Recent publications include studies on the DeepSeek large language model, malignancy prediction in solid nodules, and public perspectives on AI in healthcare.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

Collaborators (5)

Alexander Zhou

UNITED STATES

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Mizuki Nishino

King’s College London

UNITED STATES

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Giovanni Montana

University of Warwick

UNITED KINGDOM

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Amyn Bhamani

University College London

UNITED KINGDOM

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Gary Cook

King’s College London

UNITED KINGDOM

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Carolyn Horst

Research Interests

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About

Articles (10)

Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning

Performance of volume and diameter thresholds in malignancy prediction of solid nodules in lung cancer screening

Low-dose CT for lung cancer screening in a high-risk population (SUMMIT): a prospective, longitudinal cohort study

The AI doctor will see you now: public perspectives on artificial intelligence in healthcare

Building Rome: TNM Lung Cancer Staging and an Illustration of the Scientific Method

Predicting programmed death-ligand 1 (PD-L1) expression with fluorine-18 fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) metabolic parameters in resectable non-small cell lung cancer.

Stage at Diagnosis Following Delay to Interval Scans for Indeterminate Nodules in Lung Cancer Screening

2024 Top Images in Radiology: Radiology In Training Editors’ Choices

If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication

Patient Reidentification from Chest Radiographs: An Interpretable Deep Metric Learning Approach and Its Applications

Collaborators (5)

Alexander Zhou

Mizuki Nishino

Giovanni Montana

Amyn Bhamani

Gary Cook

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