King's College School
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.133 Zit.
Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT
Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood et al.
2023 · 704 Zit.
Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
Cherry Sit, Rohit Srinivasan, Ashik Amlani et al.
2020 · 476 Zit.
Impact of the coronavirus (COVID-19) pandemic on scientific research and implications for clinical academic training – A review
Catrin Sohrabi, Ginimol Mathew, Thomas Franchi et al.
2021 · 225 Zit.
A systematic review of machine learning models for predicting outcomes of stroke with structured data
Wenjuan Wang, Martin Kiik, Niels Peek et al.
2020 · 200 Zit.
The influence of AI text generators on critical thinking skills in UK business schools
Aniekan Essien, Oyegoke Teslim Bukoye, Xianghan O’Dea et al.
2024 · 156 Zit.
Artificial intelligence and medical education: A global mixed-methods study of medical students’ perspectives
Hamza Ejaz, Hari McGrath, Brian Li Han Wong et al.
2022 · 97 Zit.
Artificial intelligence, fetal echocardiography, and congenital heart disease
Thomas G. Day, Bernhard Kainz, Joseph V. Hajnal et al.
2021 · 53 Zit.
Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK
Nikolaos Stogiannos, Rizwan Malik, Amrita Kumar et al.
2023 · 45 Zit.
AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers
Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr et al.
2024 · 24 Zit.
ChatGPT Unveiled: Understanding Perceptions of Academic Integrity in Higher Education - A Qualitative Approach
Silva Karkoulian, Niveen Sayegh, Nadeen Sayegh
2024 · 24 Zit.
AI solutions for overcoming delays in telesurgery and telementoring to enhance surgical practice and education
Yang Li, Nicholas Raison, Sébastien Ourselin et al.
2024 · 23 Zit.
Artificial intelligence and cardiac surgery during COVID‐19 era
Raveena Kaur Khalsa, Arwa Khashkhusha, Sara Zaidi et al.
2021 · 22 Zit.
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results
Kelly Payette, Céline Steger, Roxane Licandro et al.
2024 · 17 Zit.
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Vikash Gupta, Barbaros S. Erdal, Carolina Ramirez et al.
2024 · 16 Zit.