NIHR Southampton Biomedical Research Centre

Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

Anastasia A Theodosiou, Robert C. Read

2023 · 208 Zit.

Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers

Ahmed Salih, Esmeralda Ruiz Pujadas, Víctor M. Campello et al.

2023 · 23 Zit.

Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review

Amanda Blatch-Jones, Hazel Church, Ksenia Crane

2024 · 3 Zit.

Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review

Amanda Blatch-Jones, Hazel Church, Ksenia Crane

2025 · 2 Zit.

Pretrained language models for semantics-aware data harmonisation of observational clinical studies in the era of big data

Jakub Dylag, Zlatko Zlatev, Michael Boniface

2025 · 1 Zit.

A novel framework for operationalising patient and public involvement: lessons from designing an AI-informed exercise prescription grant

Lucy Smith, Jacob Keast, Joan Flowers et al.

2025 · 1 Zit.

Evaluation and enhancement of the prognostic ability of the eighth edition of TNM staging in cutaneous malignant melanoma: a population-based study, using machine learning, of 111 871 patients

Mohamed Mortagy, Nikita Cliff-Patel, Regina Askary et al.

2026 · 0 Zit.

Review: The environmental impact of data-driven precision medicine initiatives — R0/PR2

Gabrielle Samuel, Anneke Lucassen

2022 · 0 Zit.

Predicting onward care needs at admission to reduce discharge delay using machine learning

Christopher Duckworth, Daniel Burns, Carlos Lamas‐Fernandez et al.

2024 · 0 Zit.

Decision: The environmental impact of data-driven precision medicine initiatives — R0/PR5

Gabrielle Samuel, Anneke Lucassen

2022 · 0 Zit.

Large Language Models for Thematic Analysis in Healthcare Research: A Blinded Mixed-Methods Comparison with Human Analysts

Callum Hill, Arun Dahil, Glenn Simpson et al.

2025 · 0 Zit.

Review: The environmental impact of data-driven precision medicine initiatives — R0/PR3

Gabrielle Samuel, Anneke Lucassen

2022 · 0 Zit.

Corrigendum to “Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors” [Bone. 2023 Mar:168:116653]

Shengyu Lu, Nicholas R. Fuggle, Leo D. Westbury et al.

2024 · 0 Zit.