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Sunnybrook Health Science Centre

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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.