FHNW University of Applied Sciences and Arts
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis
Christine Jacob, Noé Brasier, Emanuele Laurenzi et al.
2024 · 39 Zit.
Image synthesis from an ethical perspective
Oliver Bendel
2023 · 36 Zit.
The Personification of ChatGPT (GPT-4)—Understanding Its Personality and Adaptability
Leandro Stöckli, Luca Joho, Felix Lehner et al.
2024 · 8 Zit.
Human-centered Artificial Intelligence: A Multidimensional Approach towards Real World Evidence
Bettina Schneider, Petra Maria Asprion, Frank Grimberg
2019 · 5 Zit.
The Supportive AI Framework: From Recommending to Supporting
Toni Waefler, Samira Hamouche, Andrina Eisenegger
2025 · 2 Zit.
Solving the Explainable AI Conundrum: How to Bridge the Gap Between Clinicians Needs and Developers Goals
Nadine Bienefeld, Rahel Lüthy, Dominique Brodbeck et al.
2022 · 1 Zit.
«Robotik wird sich durchsetzen, wo sie dem Patienten Vorteile bringt»
Sabina Heuss
2018 · 0 Zit.
Review of: "OpenAI ChatGPT Generated Content and Similarity Index: A study of selected terms from the Library & Information Science (LIS)"
Thomas Hanne
2023 · 0 Zit.
Bridging Gaps in Women’s Heart Health: User-Centered Needs Assessment Informed by Patient and Clinician Interviews
Christine Jacob, Sangeetha-Rose Puthanveettil, Patrick Vavken et al.
2025 · 0 Zit.
Knowledge, Mental Models, and Trust Regarding AI for Baggage Screening
Giulio Staufer, Adrian Schwaninger, Yanik Sterchi
2025 · 0 Zit.
Review of: "Towards Responsible AI-Assisted Scholarship: Comparative Assessment of Generative Models and Adoption Recommendations"
Thomas Hanne
2023 · 0 Zit.
HR analytics between ambition and reality
Marius Gerber, Andreas Krause, Jonas Probst et al.
2024 · 0 Zit.
An Awareness Framework for Sustainable Selection of LLMs in Business
Natascha Brughitta Anchia, Andreas Martin
2025 · 0 Zit.
AI for IMPACTS: A Comprehensive Framework for Evaluating the Long-term Real-world Impacts of AI-powered Clinician Tools (Preprint)
Christine Jacob, Noé Brasier, Emanuele Laurenzi et al.
2024 · 0 Zit.
«Robotik wird sich durchsetzen, wo sie dem Patienten Vorteile bringt»
Sabina Heuss
2018 · 0 Zit.