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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

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Screening participants’ attitudes to the introduction of artificial intelligence in breast screening

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2021 · 16 Zit.

International multistakeholder consensus statement on post‐publication integrity issues in randomized clinical trials by Cairo Consensus Group

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Quality of Information on Wilms Tumor From Artificial Intelligence Chatbots: What Are Your Patients and Their Families Reading?

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Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion

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A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide

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Gynaecological Artificial Intelligence Diagnostics (GAID) GAID and Its Performance as a Tool for the Specialist Doctor

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Big data in anaesthesia: a narrative, nonsystematic review

Philippe Dony, Rémi Florquin, Patrice Forget

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Artificial Intelligence in Breast Screening - Local Validation Essential

Clarisse de Vries, S. Colosimo, Roger T. Staff et al.

2022 · 1 Zit.

A Machine Learning Model for Survival Prediction in Secondary Liver Cancer

Mustansar Ali Ghazanfar, Pooja Prakash, Mohamed Bekheit et al.

2023 · 1 Zit.

A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide

Rumana Newlands, Hanne Bruhn, Magdalena Rzewuska et al.

2024 · 0 Zit.

Socialising artificial intelligence in diagnostic cellular pathology

Peter Johnston

2025 · 0 Zit.

AI Governance and Implementation in Radiography Practice

Christina Malamateniou, Amrita Kumar, Gerald Lip et al.

2026 · 0 Zit.

Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare data

William H. Nailon, David J. Noble, Ewen M Harrison et al.

2026 · 0 Zit.