Leeds Teaching Hospitals NHS Trust
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 430 Zit.
The value of standards for health datasets in artificial intelligence-based applications
Anmol Arora, Joseph Alderman, Joanne Palmer et al.
2023 · 235 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 217 Zit.
Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases
Aditi Babel, Richi Taneja, Franco Mondello Malvestiti et al.
2021 · 167 Zit.
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
M. Álvaro Berbís, David S. McClintock, Andrey Bychkov et al.
2023 · 97 Zit.
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.
2022 · 78 Zit.
Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Joanne Palmer, Joseph Alderman et al.
2022 · 77 Zit.
The ethical challenges of artificial intelligence‐driven digital pathology
Francis McKay, Bethany Williams, Graham Prestwich et al.
2022 · 60 Zit.
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
Nisha Sharma, A.Y. Ng, Jonathan J. James et al.
2023 · 58 Zit.
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.
2025 · 46 Zit.
UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments
Clare Rainey, Tracy O’Regan, Jacqueline Matthew et al.
2022 · 40 Zit.
Cost-effectiveness requirements for implementing artificial intelligence technology in the Women’s UK Breast Cancer Screening service
Armando Vargas‐Palacios, Nisha Sharma, Gurdeep S. Sagoo
2023 · 37 Zit.
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection
Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė et al.
2022 · 31 Zit.
A scoping review of educational programmes on artificial intelligence (AI) available to medical imaging staff
Gloria Doherty, Laura McLaughlin, Ciara Hughes et al.
2024 · 30 Zit.
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload
Annie Ng, Ben Glocker, Cary Oberije et al.
2023 · 26 Zit.