The Queen's Medical Research Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians’ and midwives’ perspectives on integrating AI-driven CTG into clinical decision making
Rachel Dlugatch, Antoniya Georgieva, Angeliki Kerasidou
2024 · 33 Zit.
Artificial intelligence in orthopaedics
Nick D. Clement, Hamish Simpson
2023 · 17 Zit.
Global accord on the integration of artificial intelligence in medical science publishing: implications of the Bletchley Declaration
Tomasz J Guzik, Arkadiusz Sitek
2023 · 5 Zit.
Mapping cognitive biases in multidisciplinary team (MDT) decision-making for cancer care in Scotland: a cognitive ethnography study protocol
Harini Dharanikota, Stephen J. Wigmore, Richard J. E. Skipworth et al.
2024 · 2 Zit.
Compliance and factuality of large language models for clinical research document generation
Zifeng Wang, Junyi Gao, Benjamin Danek et al.
2025 · 2 Zit.
A scoping review of AI, speech and natural language processing methods for assessment of clinician-patient communication
Pierre Albert, Brian McKinstry, Saturnino Luz
2024 · 2 Zit.
ToKSA - Tokenized Key Sentence Annotation - a Novel Method for Rapid Approximation of Ground Truth for Natural Language Processing
Cameron J. Fairfield, William Cambridge, Lydia Cullen et al.
2021 · 0 Zit.
AI Implementation in Thoracic Radiology: It Is Getting Closer
Edwin J.R. van Beek
2025 · 0 Zit.
Deep Learning for Analysis of Bone Marrow Adiposity: Breakthroughs from Recent Large-Scale Analyses in the UK Biobank
Wei Xu, Chengjia Wang, William P. Cawthorn
2026 · 0 Zit.
P33 Setting research priorities for the use of digital technology in the prevention and management of heart health: the results of the James Lind priority setting partnership
Lis Neubeck, Simon Nichols, Nicola Straiton et al.
2025 · 0 Zit.
Performance of artificial intelligence answering questions on disease management from people with bronchiectasis: results from the AIR-BE study.
Mattia Nigro, Andréa Aliverti, Alessandra Angelucci et al.
2025 · 0 Zit.