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NIHR Imperial Biomedical Research Centre

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

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2020 · 251 Zit.

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.

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Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy

Valeria Ricotti, Balasundaram Kadirvelu, Victoria Selby et al.

2023 · 90 Zit.

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

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2025 · 70 Zit.

Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation

Michael Yeung, Leonardo Rundo, Nan Yang et al.

2022 · 67 Zit.

Moving towards vertically integrated artificial intelligence development

Joe Zhang, Sanjay Budhdeo, William Wasswa et al.

2022 · 40 Zit.

Addendum: International evaluation of an AI system for breast cancer screening

Scott Mayer McKinney, Marcin Sieniek, Varun Godbole et al.

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Current state and prospects of artificial intelligence in allergy

Merlijn van Breugel, Rudolf S.N. Fehrmann, Marnix Bügel et al.

2023 · 36 Zit.

Challenges and recommendations for high quality research using electronic health records

Kate Honeyford, Paul Expert, Estera Mendelsohn et al.

2022 · 35 Zit.

Robot-Assisted Fracture Surgery: Surgical Requirements and System Design

Ioannis Georgilas, Giulio Dagnino, Payam Tarassoli et al.

2018 · 24 Zit.

Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives

Luca Miglietta, Timothy M. Rawson, Ronald Galiwango et al.

2025 · 12 Zit.