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Jena University Hospital

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey

Oliver Maaßen, Sebastian Fritsch, Julia Palm et al.

2021 · 121 Zit.

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

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 78 Zit.

Leveraging artificial intelligence in neurosurgery—unveiling ChatGPT for neurosurgical discharge summaries and operative reports

Daniel Dubinski, Sae‐Yeon Won, Svorad Trnovec et al.

2024 · 31 Zit.

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications

Aaron Lawson McLean, Yonghui Wu, Anna C. Lawson McLean et al.

2024 · 27 Zit.

Deep learning and medical diagnosis

Marc Dewey, Peter Schlattmann

2019 · 22 Zit.

Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management

Aaron Lawson McLean, Vagelis Hristidis

2025 · 16 Zit.

Artificial Intelligence in Surgical Documentation: A Critical Review of the Role of Large Language Models

Aaron Lawson McLean

2023 · 15 Zit.

The Limitations of Artificial Intelligence in Head and Neck Oncology

Karthik Rao, Verónica Fernández‐Álvarez, Orlando Guntinas‐Lichius et al.

2025 · 13 Zit.

Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation

Sven Festag, Cord Spreckelsen

2020 · 13 Zit.

Constructing knowledge: the role of AI in medical learning

Aaron Lawson McLean

2024 · 8 Zit.

Welches Potential hat ChatGPT 3.5 für eine qualifizierte Patienteninformation?

Gernot Keyßer, Alexander Pfeil, Monika Reuß‐Borst et al.

2024 · 5 Zit.

Towards Precision Medicine in Spinal Surgery: Leveraging AI Technologies

Aaron Lawson McLean

2023 · 4 Zit.

Patient experiences, attitudes, and profiles regarding artificial intelligence in rheumatology: a German national cross-sectional survey study

Hannah Labinsky, Philipp Klemm, Lukas Graalmann et al.

2025 · 4 Zit.

Experts fail to reliably detect AI-generated histological data

Jan Hartung, Stefanie Reuter, Vera A. Kulow et al.

2024 · 2 Zit.

Challenging the dogma: why reviewers should be allowed to use AI tools

Giuseppe Lippi, Karl J. Lackner, Bohuslav Melichar et al.

2025 · 2 Zit.