Boğaziçi University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians
Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey et al.
2023 · 98 Zit.
The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data
Élise Bannier, Gareth J. Barker, Valentina Borghesani et al.
2021 · 60 Zit.
Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals’ perspectives
Cansu Yüksel Elgin, Ceyhun Elgin
2024 · 39 Zit.
Reducing AI bias in recruitment and selection: an integrative grounded approach
Melika Soleimani, Ali Intezari, James Arrowsmith et al.
2025 · 14 Zit.
A Workflow for Ensuring DICOM Compatibility During Radiography Device Software Development
Altay Brusan, Aytaç Durmaz, Cengizhan Öztürk
2021 · 6 Zit.
explainable-re/RE-2019-Materials v0
Fabiano Dalpiaz, Davide Dell’Anna, Fatma Başak Aydemir et al.
2019 · 5 Zit.
Digital Twins in Medicine, AI-Driven Personalized Healthcare, and Predictive Analytics
Secil Sen, Kubilay Doğan Kılıç
2025 · 4 Zit.
Empowering the Next Generation: Integrating AI Literacy into Modern Education
Hamdi Erkunt
2023 · 2 Zit.
Artificial Intelligence in Cancer: A SWOT Analysis
Gülşah Torkay, Nouran Fadlallah, Ahmet Karagöz et al.
2024 · 1 Zit.
Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma
Gizem Özçıbık Işık, Burcu Kılıç, Ezel Erşen et al.
2025 · 1 Zit.
Evaluating medical AI systems in dermatology under uncertain ground truth
David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy et al.
2025 · 1 Zit.
Guest Editorial Plagiarism
Okyay Kaynak, Robin Braun, Ian Kennedy
2008 · 1 Zit.
Post-hoc eXplainable AI methods for analyzing medical images of gliomas (— A review for clinical applications)
Hamail Ayaz, Esra Sümer-Arpak, Esin Öztürk-Işık et al.
2025 · 1 Zit.
Designing for Explainability and Data Sovereignty: A Design Principles Approach for LLM-Augmented FinTech Analytics
Begüm Al, Adnan Erdoğan, Oğuzhan Akkurt et al.
2025 · 0 Zit.
In the News
Danna Voth, Sara Reese Hedberg
2007 · 0 Zit.