University College London Hospitals NHS Foundation Trust
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception
Sotirios Bisdas, Constantin‐Cristian Topriceanu, Zosia Zakrzewska et al.
2021 · 194 Zit.
The Advent of Generative Language Models in Medical Education
Mert Karabacak, Burak Berksu Ozkara, Konstantinos Margetis et al.
2023 · 191 Zit.
Artificial intelligence in radiology: how will we be affected?
Simon H. Wong, Hasanein Al-Hasani, Zahidul Alam et al.
2018 · 104 Zit.
Association of preoperative anaemia with postoperative morbidity and mortality: an observational cohort study in low-, middle-, and high-income countries
Alexander J. Fowler, Tahania Ahmad, Tom Abbott et al.
2018 · 79 Zit.
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek et al.
2024 · 59 Zit.
Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies
Olivier Vandenberg, G. Durand, Marie Hallin et al.
2020 · 53 Zit.
Artificial intelligence and machine learning for clinical pharmacology
David Ryan, Rory Maclean, Alfred Balston et al.
2023 · 44 Zit.
Performance of artificial intelligence chatbots in sleep medicine certification board exams: ChatGPT versus Google Bard
Ryan Chin Taw Cheong, Kenny P. Pang, Samit Unadkat et al.
2023 · 40 Zit.
Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe
G. Walsh, Nikolaos Stogiannos, Riaan van de Venter et al.
2023 · 39 Zit.
Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training
Yang Chen, Amitava Banerjee
2020 · 34 Zit.
Machine learning in transfusion medicine: A scoping review
Suzanne Maynard, Joseph Farrington, Samah Alimam et al.
2023 · 33 Zit.
Robotics, artificial intelligence and distributed ledgers in surgery: data is key!
Manish Chand, Navin Ramachandran, Danail Stoyanov et al.
2018 · 27 Zit.
Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia
Damiano Caruso, Francesco Pucciarelli, Marta Zerunian et al.
2021 · 26 Zit.
Survey on the perceptions of UK gastroenterologists and endoscopists to artificial intelligence
Rawen Kader, Rebecca F. Baggaley, Mohamed Hussein et al.
2022 · 22 Zit.
Technology-Enabled, Evidence-Driven, and Patient-Centered: The Way Forward for Regulating Software as a Medical Device
Jane Elizabeth Carolan, John McGonigle, Andrea Dennis et al.
2022 · 19 Zit.