University Hospital of Geneva

Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines

Lawrence T. Goodnough, Alice Maniatis, Peter Earnshaw et al.

2010 · 536 Zit.

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 377 Zit.

Considerations for ethics review of big data health research: A scoping review

Marcello Ienca, Agata Ferretti, Samia Hurst et al.

2018 · 250 Zit.

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Giovanni Cacciamani, Timothy N. Chu, Daniel I. Sanford et al.

2023 · 113 Zit.

ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?

Julien Haemmerli, Lukas Sveikata, Aria Nouri et al.

2023 · 90 Zit.

Artificial intelligence-driven assessment of radiological images for COVID-19

Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi et al.

2021 · 85 Zit.

Automatic fetal biometry prediction using a novel deep convolutional network architecture

Mostafa Ghelich Oghli, Ali Shabanzadeh, Shakiba Moradi et al.

2021 · 59 Zit.

Unlocking the Power of Artificial Intelligence and Big Data in Medicine

Christian Lovis

2019 · 57 Zit.

Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations

Joanna Kedra, Timothy R. D. J. Radstake, Aridaman Pandit et al.

2019 · 39 Zit.

DECIDE-AI: a new reporting guideline and its relevance to artificial intelligence studies in radiology

Baptiste Vasey, Alex Novak, Sarim Ather et al.

2023 · 37 Zit.

The unintended consequences of artificial intelligence in paediatric radiology

Pierluigi Ciet, Christine Eade, Mai‐Lan Ho et al.

2023 · 27 Zit.

Development and validation of survival prognostic models for head and neck cancer patients using machine learning and dosiomics and CT radiomics features: a multicentric study

Zahra Mansouri, Yazdan Salimi, Mehdi Amini et al.

2024 · 22 Zit.

Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models

Mia Gisselbaek, Mélanie Suppan, Laurens Minsart et al.

2024 · 21 Zit.

A Novel Unsupervised COVID-19 Lesion Segmentation from CT Images Based-on the Lung Tissue Detection

Faeze Gholamiankhah, Samaneh Mostafapour, Nouraddin Abdi Goushbolagh et al.

2021 · 17 Zit.

A Novel Unsupervised Approach for COVID-19 Lung Lesion Detection Based on Object Completion Technique

Samaneh Mostafapour, Faeze Gholamiankhah, Nouraddin Abdi Goushbolagh et al.

2021 · 15 Zit.