Jena University Hospital
Relevante Arbeiten
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.