Salford Royal NHS Foundation Trust

Clinical applications of machine learning algorithms: beyond the black box

David Watson, Jenny Krutzinna, Ian N Bruce et al.

2019 · 435 Zit.

Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era

Zsolt Zádor, Wendy Huang, Matthew Sperrin et al.

2017 · 15 Zit.

Does terminal digit preference occur in pathology?

Stephen J. Hayes

2008 · 10 Zit.

046  Preparing new registrars for practice in the age of Zoom

Richard Rees, Amy Ross Russell, Faheemah Patel et al.

2022 · 0 Zit.

The accuracy of large language models in labelling neurosurgical ‘case-control studies’ and risk of bias assessment: protocol for a study of interrater agreement with human reviewers

Joanne Igoli, Temidayo Osunronbi, Olatomiwa Olukoya et al.

2024 · 0 Zit.

Accuracy of the GPT-5 Mini in Predicting Six-Week Postoperative Knee Flexion Following Total Knee Replacement: A Retrospective Cohort Study

Matthew Earnshaw, Hassan Shadad, Abed Alfattah Mahmoud Alnsour et al.

2026 · 0 Zit.

Multimodal artificial intelligence (MMAI) model to identify benefit from 2nd-generation androgen receptor pathway inhibitors (ARPI) in high-risk non-metastatic prostate cancer patients from STAMPEDE.

Charles Thomas Parker, Vinnie YT Liu, Larissa Mendes et al.

2025 · 0 Zit.

Large Language Models vs. Professional Resources for Post-Treatment Quality-of-Life Questions in Head and Neck Cancer: A Cross-Sectional Comparison

Ali Alabdalhussein, Mustafa Qais Muhsin Al-Khafaji, Shazaan Nadeem et al.

2025 · 0 Zit.