Sunnybrook Health Science Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials
Janice L. Kwan, Lisha Lo, Jacob Ferguson et al.
2020 · 420 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 338 Zit.
From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and Opportunities
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis et al.
2019 · 282 Zit.
Structured Reporting in Radiology
Dhakshinamoorthy Ganeshan, Phuong-Anh T. Duong, Linda Probyn et al.
2017 · 230 Zit.
COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning
Parnian Afshar, Shahin Heidarian, Nastaran Enshaei et al.
2021 · 201 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Interobserver and intraobserver variation in the assessment of the healing of tibial fractures after intramedullary fixation
Daniel B. Whelan, Mohit Bhandari, Michael D. McKee et al.
2002 · 140 Zit.
BIAS: Transparent reporting of biomedical image analysis challenges
Lena Maier‐Hein, Annika Reinke, Michal Kozubek et al.
2020 · 120 Zit.
Comparative Evaluation of LLMs in Clinical Oncology
Nicholas R. Rydzewski, Deepak Dinakaran, Shuang G. Zhao et al.
2024 · 87 Zit.
Artificial Intelligence for Hip Fracture Detection and Outcome Prediction
Johnathan R. Lex, Joseph Di Michele, Robert Koucheki et al.
2023 · 82 Zit.
Accuracy of an Artificial Intelligence Chatbot’s Interpretation of Clinical Ophthalmic Images
Andrew Mihalache, Ryan S. Huang, Marko M. Popovic et al.
2024 · 78 Zit.
Google Gemini and Bard artificial intelligence chatbot performance in ophthalmology knowledge assessment
Andrew Mihalache, Justin Grad, Nikhil S. Patil et al.
2024 · 50 Zit.
Four equity considerations for the use of artificial intelligence in public health
Maxwell J. Smith, Renata Axler, Sally Bean et al.
2020 · 46 Zit.
The Limits of Clinician Vigilance as an AI Safety Bulwark
Julia Adler‐Milstein, Donald A. Redelmeier, Robert M. Wachter
2024 · 46 Zit.
Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology – national survey
Kristen Wing Yan Wong, François Gallant, Ewa Szumacher
2020 · 39 Zit.