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University Health Network

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.712 Zit.

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.

2021 · 683 Zit.

Applications of artificial neural networks in health care organizational decision-making: A scoping review

Nida Shahid, Tim Rappon, Whitney Berta

2019 · 522 Zit.

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

Lu Xu, Leslie Sanders, Kay Li et al.

2021 · 505 Zit.

Transparency and reproducibility in artificial intelligence

Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.

2020 · 483 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 460 Zit.

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 · 434 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

van der Laak J, Corrado GS, Allan R et al.

2022 · 390 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 360 Zit.

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri et al.

2020 · 343 Zit.

Surgical data science – from concepts toward clinical translation

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.

2022 · 315 Zit.

Physician perspectives on integration of artificial intelligence into diagnostic pathology

Shihab Sarwar, Anglin Dent, Kevin Faust et al.

2019 · 298 Zit.

Artificial Intelligence in Undergraduate Medical Education: A Scoping Review

Juehea Lee, Annie Siyu Wu, David Li et al.

2021 · 294 Zit.

Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review

Rebecca Charow, Tharshini Jeyakumar, Sarah Younus et al.

2021 · 229 Zit.

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al.

2021 · 206 Zit.