University of Groningen
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
Stan Benjamens, Pranavsingh Dhunnoo, Bertalan Meskó
2020 · 1.110 Zit.
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence
Zeynep Akata, Dan Balliet, Maarten de Rijke et al.
2020 · 358 Zit.
RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials
Iain Marshall, Joël Kuiper, Byron Wallace
2015 · 316 Zit.
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.
2024 · 255 Zit.
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.
2022 · 165 Zit.
Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire
Yfke Ongena, Marieke Haan, Derya Yakar et al.
2019 · 154 Zit.
A Qualitative Study to Understand Patient Perspective on the Use of Artificial Intelligence in Radiology
Marieke Haan, Yfke Ongena, Saar Hommes et al.
2019 · 152 Zit.
From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence
Matthew Grimes, Georg von Krogh, Stefan Feuerriegel et al.
2023 · 139 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 138 Zit.
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Isaac Shiri, Majid Sorouri, Parham Geramifar et al.
2021 · 133 Zit.
Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review
Ayleen Bertini, Rodrigo Salas, Stéren Chabert et al.
2022 · 132 Zit.
Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal
Jakub Olczak, John Pavlopoulos, Jasper Prijs et al.
2021 · 130 Zit.
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients
Mostafa Nazari, Isaac Shiri, Habib Zaidi
2020 · 128 Zit.
Data Sharing Under the General Data Protection Regulation
Antonia Vlahou, Dara Hallinan, Rolf Apweiler et al.
2021 · 127 Zit.
Artificial Intelligence in Screening Mammography: A Population Survey of Women’s Preferences
Yfke Ongena, Derya Yakar, Marieke Haan et al.
2020 · 114 Zit.