Nottingham Biomedical Research Centre

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen Weng, Jenna Reps, Joe Kai et al.

2017 · 1.320 Zit.

International consensus statement on the peri‐operative management of anaemia and iron deficiency

Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.

2016 · 831 Zit.

Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches

Stephen Weng, Luis R. Vaz, Nadeem Qureshi et al.

2019 · 124 Zit.

A systematic review of the applications of Expert Systems (ES) and machine learning (ML) in clinical urology

Hesham A. Salem, Daniele Soria, Jonathan N. Lund et al.

2021 · 28 Zit.

Diagnostic utility of artificial intelligence for left ventricular scar identification using cardiac magnetic resonance imaging—A systematic review

Nikesh Jathanna, Anna Podlasek, Albert Sokol et al.

2021 · 16 Zit.

Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges

David Drummond, Ireti Adejumo, Kjeld Hansen et al.

2024 · 12 Zit.

ChatGPT<i>versus</i>Bing: a clinician assessment of the accuracy of AI platforms when responding to COPD questions

Arouba Imtiaz, Joanne King, Steve Holmes et al.

2024 · 7 Zit.

Editorial comment on “Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage”

Stefan Pszczółkowski, Zhe Kang Law

2023 · 7 Zit.

Empathy by Design: Reframing the Empathy Gap Between AI and Humans in Mental Health Chatbots

Alastair Howcroft, Holly Blake

2025 · 3 Zit.

Validity, reliability, and readability of Artificial Intelligence chatbots as public sources of information on hearing loss: a comparative evaluation of ChatGPT, Bing, Gemini, and Perplexity

Mohamad Amin Pourhoseingholi, Catherine F. Killan, Sara Rafiee et al.

2025 · 2 Zit.

Patient voice at scale: artificial intelligence-assisted qualitative analysis of patient-clinician rapport in public social media

Zuhair AHMAD, Rayyan BARAKAT, Muhammad A. GHOUS et al.

2025 · 1 Zit.

Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data

Mohammadreza Ghaffarzadeh-Esfahani, Mahdi Ghaffarzadeh-Esfahani, Aryan Salahi‐Niri et al.

2025 · 1 Zit.

Convolutional neural networks in paediatric fracture detection: pooled evidence from a systematic review and meta-analysis

A Pervez, S. Umar Hasan, Alan Norrish

2026 · 1 Zit.

Bias in respiratory diagnoses by Large Language Models (LLMs) in Low Middle Income Countries (LMICs)

Amir Mouelhi, Sara Kussad, Samuel Twumasi et al.

2025 · 0 Zit.

Clinical usability of generative artificial intelligence for MR safety advice

Heather E.L. Rose, James Thorpe, Rafal Panek et al.

2026 · 0 Zit.