Institute for Biomedical Engineering

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.

2018 · 426 Zit.

Implications of artificial intelligence for medical education

Vanessa Rampton, Michael Mittelman, Jörg Goldhahn

2020 · 112 Zit.

Could artificial intelligence make doctors obsolete?

Jörg Goldhahn, Vanessa Rampton, Giatgen A. Spinas

2018 · 95 Zit.

Re-focusing explainability in medicine

Laura Arbelaez Ossa, Georg Starke, Giorgia Lorenzini et al.

2022 · 81 Zit.

Are we ready for Artificial Intelligence in Medicine?

Jeffrey David Iqbal, Rasita Vinay

2022 · 20 Zit.

SDF4CHD: Generative modeling of cardiac anatomies with congenital heart defects

Fanwei Kong, S. Stocker, Perry S. Choi et al.

2024 · 19 Zit.

AI knows best? Avoiding the traps of paternalism and other pitfalls of AI-based patient preference prediction

Andrea Ferrario, Sophie Gloeckler, Nikola Biller‐Andorno

2023 · 13 Zit.

Large language models in medical ethics: useful but not expert

Andrea Ferrario, Nikola Biller‐Andorno

2024 · 11 Zit.

AI model GPT-3 (dis)informs us better than humans

Giovanni Spitale, Nikola Biller‐Andorno, Federico Germani

2023 · 10 Zit.

Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration

Mia Gisselbaek, Joana Berger‐Estilita, Arnout Devos et al.

2025 · 9 Zit.

Accuracy is inaccurate: Why a focus on diagnostic accuracy for medical chatbot AIs will not lead to improved health outcomes

Stephen R. Milford

2024 · 8 Zit.

The pursuit of health equity in the era of artificial intelligence

Tania Manríquez Roa, Markus Christen, Andreas Reis et al.

2023 · 3 Zit.

Could artificial intelligence make doctors obsolete?

Jörg Goldhahn, Vanessa Rampton, Giatgen A. Spinas

2019 · 3 Zit.

Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in <scp>ISMRM</scp>

Esther A. H. Warnert, Lars Kasper, Carolyn C. Meltzer et al.

2020 · 3 Zit.

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy et al.

2024 · 3 Zit.