NIHR Surgical Reconstruction and Microbiology Research Centre

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

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Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

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Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2020 · 557 Zit.

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension

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Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines

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Tackling bias in AI health datasets through the STANDING Together initiative

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2022 · 80 Zit.

Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies

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The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)

Finlay J Pearce, Samantha Cruz Rivera, Xiaoxuan Liu et al.

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Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach

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Enhancing Diagnostic Precision: Utilising a Large Language Model to Extract U Scores from Thyroid Sonography Reports

Emma Watts, Omid Pournik, Rose Allington et al.

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Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI

Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.

2024 · 1 Zit.

Evaluating ChatGPT as a Standalone Tool for Patient Education: A Review of Frequently Asked Questions by Patients With Chronic Obstructive Pulmonary Disease

Yizhu Yin, Zara Riaz, Rafael Amoro Sanchez et al.

2025 · 1 Zit.

What if Every Patient’s Immune System Could be Guided by the World’s Most Powerful Computers to Fight Cancer? The UK Cancer Vaccines AI and Supercompute Project

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Global use and opportunities for adoption of Large Language Models (LLMs) in surgical care in 2025: A horizon scanning and consensus exercise

James Glasbey, Aneel Bhangu

2026 · 0 Zit.