University Hospital Münster
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.
2021 · 241 Zit.
Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients
Gerhard‐Paul Diller, Aleksander Kempny, Sonya V. Babu‐Narayan et al.
2018 · 193 Zit.
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.
2022 · 142 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 137 Zit.
Recommendations and future directions for supervised machine learning in psychiatry
Micah Cearns, Tim Hahn, Bernhard T. Baune
2019 · 128 Zit.
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.
2023 · 82 Zit.
Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial
Emilia Brügge, Sarah Ricchizzi, Malin Arenbeck et al.
2024 · 78 Zit.
Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.
2021 · 65 Zit.
Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey
Nasim Ayad, Falk Schwendicke, Joachim Krois et al.
2023 · 52 Zit.
Benefits, limits, and risks of ChatGPT in medicine
Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk et al.
2025 · 52 Zit.
Artificial Intelligence in Congenital Heart Disease
Pei‐Ni Jone, Addison Gearhart, Howard Lei et al.
2022 · 50 Zit.
A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges
Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre et al.
2023 · 49 Zit.
A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery
Tim Eschert, Falk Schwendicke, Joachim Krois et al.
2022 · 46 Zit.
DeepSeek vs. ChatGPT: prospects and challenges
Inhye Jin, Jonathan A. Tangsrivimol, Erfan Darzi et al.
2025 · 30 Zit.
Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures
Siobhán O’Sullivan, Mark Janssen, Andreas Holzinger et al.
2022 · 27 Zit.