Fresenius (Germany)

The future landscape of large language models in medicine

Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.

2023 · 854 Zit.

Large language model AI chatbots require approval as medical devices

Stephen Gilbert, Hugh Harvey, Tom Melvin et al.

2023 · 184 Zit.

A guide to artificial intelligence for cancer researchers

Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood et al.

2024 · 164 Zit.

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis

Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.

2024 · 106 Zit.

A future role for health applications of large language models depends on regulators enforcing safety standards

Oscar Freyer, Isabella C. Wiest, Jakob Nikolas Kather et al.

2024 · 104 Zit.

Navigating the European Union Artificial Intelligence Act for Healthcare

Felix Busch, Jakob Nikolas Kather, Christian Johner et al.

2024 · 81 Zit.

An overview and a roadmap for artificial intelligence in hematology and oncology

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 77 Zit.

New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology

Bouchra Derraz, Gabrièle Bréda, C. Kaempf et al.

2024 · 69 Zit.

A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports

Daniel Truhn, Christian David Weber, Benedikt J. Braun et al.

2023 · 65 Zit.

Artificial intelligence in medical device software and high-risk medical devices – a review of definitions, expert recommendations and regulatory initiatives

Alan G. Fraser, Elisabetta Biasin, Bart Bijnens et al.

2023 · 54 Zit.

The EU passes the AI Act and its implications for digital medicine are unclear

Stephen Gilbert

2024 · 52 Zit.

Learning From Experience and Finding the Right Balance in the Governance of Artificial Intelligence and Digital Health Technologies

Stephen Gilbert, Stuart Anderson, Martin Daumer et al.

2023 · 51 Zit.

Large language models and multimodal foundation models for precision oncology

Daniel Truhn, Jan‐Niklas Eckardt, Dyke Ferber et al.

2024 · 51 Zit.

Medical large language models are susceptible to targeted misinformation attacks

Tianyu Han, Sven Nebelung, Firas Khader et al.

2024 · 39 Zit.

Prompt injection attacks on vision language models in oncology

Jan Clusmann, Dyke Ferber, Isabella C. Wiest et al.

2025 · 28 Zit.