INSEAD

The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

Sara Gerke, Boris Babic, Theodoros Evgeniou et al.

2020 · 333 Zit.

Beware explanations from AI in health care

Boris Babic, Sara Gerke, Theodoros Evgeniou et al.

2021 · 221 Zit.

The European artificial intelligence strategy: implications and challenges for digital health

I. Glenn Cohen, Theodoros Evgeniou, Sara Gerke et al.

2020 · 159 Zit.

Direct-to-consumer medical machine learning and artificial intelligence applications

Boris Babic, Sara Gerke, Theodoros Evgeniou et al.

2021 · 55 Zit.

The Future of Research in an Artificial Intelligence-Driven World

Mukta Kulkarni, Saku Mantere, Eero Vaara et al.

2024 · 49 Zit.

How AI can learn from the law: putting humans in the loop only on appeal

I. Glenn Cohen, Boris Babic, Sara Gerke et al.

2023 · 36 Zit.

A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?

Yang Chen, Samuel N. Kirshner, Антон Овчінніков et al.

2025 · 35 Zit.

A scoping review of robustness concepts for machine learning in healthcare

Alan Balendran, Céline Béji, Florie Bouvier et al.

2025 · 20 Zit.

Algorithmovigilance, lessons from pharmacovigilance

Alan Balendran, Mehdi Benchoufi, Theodoros Evgeniou et al.

2024 · 11 Zit.

PsychAdapter: adapting LLMs to reflect traits, personality, and mental health

Huy Quan Vu, Huy A. Nguyen, Adithya V Ganesan et al.

2026 · 1 Zit.