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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe et al.

2020 · 937 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 · 889 Zit.

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Michael Roberts, Derek Driggs, Matthew Thorpe et al.

2021 · 873 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 · 539 Zit.

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Xiang Bai, Hanchen Wang, Liya Ma et al.

2021 · 71 Zit.

Toward an Understanding of Adversarial Examples in Clinical Trials

Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall et al.

2019 · 26 Zit.

Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry

Jakob Mökander, Margi Sheth, Mimmi Gersbro-Sundler et al.

2022 · 25 Zit.

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Xiang Bai, Hanchen Wang, Liya Ma et al.

2022 · 7 Zit.

Clinical trials, real-world evidence, and digital medicine

Jim Weatherall, Faisal M. Khan, Mishal Patel et al.

2021 · 4 Zit.

Can machine learning augment clinician adjudication of events in cardiovascular trials? A case study of major adverse cardiovascular events (MACE) across CVRM trials

Halsey Lea, Elizabeth Hutchinson, AP Meeson et al.

2021 · 3 Zit.

The AI revolution: how multimodal intelligence will reshape the oncology ecosystem

David Dellamonica, David Ruau, B Griffiths et al.

2025 · 2 Zit.

Implementation of a data science and artificial intelligence strategy across pharmaceutical R&D: challenges and solutions

Vincenzo Garzya, Gabriella Rustici, Tom Diethe et al.

2025 · 1 Zit.

Harnessing Artificial Intelligence (AI) and Clinical Guidelines to Identify At-Risk Patients with CKD and Optimize Management of CKD

Pooja N. Desai, Alex Veldman, Elmas Malvolti et al.

2025 · 0 Zit.

AI and Point of Care Image Analysis for COVID-19

Michael Roberts, Oz Frank, Shai Bagon et al.

2022 · 0 Zit.

Generative AI in pharmaceutical R&D: From large language models to AI agents to regulation

James Weatherall, Chris Meier

2026 · 0 Zit.