Google (United Kingdom)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Key challenges for delivering clinical impact with artificial intelligence
Christopher Kelly, Alan Karthikesalingam, Mustafa Suleyman et al.
2019 · 2.396 Zit.
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher et al.
2020 · 986 Zit.
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Samantha Cruz Rivera, Xiaoxuan Liu, An‐Wen Chan et al.
2020 · 578 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 468 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 377 Zit.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.
2021 · 301 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 202 Zit.
Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases
Joseph Ahn, Alistair Connell, Douglas A. Simonetto et al.
2020 · 185 Zit.
Towards accurate differential diagnosis with large language models
Daniel McDuff, Mike Schaekermann, Tao Tu et al.
2025 · 153 Zit.
Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence
Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, Technology Enhanced Macular Services Study Reference Group et al.
2022 · 143 Zit.
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey et al.
2023 · 107 Zit.
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations
Joseph Alderman, Joanne Palmer, Elinor Laws et al.
2024 · 105 Zit.
The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence
Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.
2025 · 96 Zit.
Tackling bias in AI health datasets through the STANDING Together initiative
Shaswath Ganapathi, Joanne Palmer, Joseph Alderman et al.
2022 · 81 Zit.
Detecting shortcut learning for fair medical AI using shortcut testing
Alexander Brown, Nenad Tomašev, Jan Freyberg et al.
2023 · 79 Zit.