Ludwig-Maximilians-Universität München
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
ChatGPT for good? On opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann et al.
2023 · 4.653 Zit.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.794 Zit.
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U. Kale et al.
2019 · 1.771 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.161 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 821 Zit.
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Paul Hager, Friederike Jungmann, Robbie Holland et al.
2024 · 510 Zit.
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports
Katharina Jeblick, Balthasar Schachtner, Jakob Dexl et al.
2023 · 499 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 462 Zit.
Do as AI say: susceptibility in deployment of clinical decision-aids
Susanne Gaube, Harini Suresh, Martina Raue et al.
2021 · 420 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 320 Zit.
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K. Wagner, Dun Jack Fu et al.
2019 · 312 Zit.
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.
Mitigating bias in machine learning for medicine
Kerstin Noëlle Vokinger, Stefan Feuerriegel, Aaron S. Kesselheim
2021 · 240 Zit.
From promise to practice: towards the realisation of AI-informed mental health care
Nikolaos Koutsouleris, Tobias U. Hauser, Vasilisa Skvortsova et al.
2022 · 226 Zit.
Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
Maria Bordukova, Nikita Makarov, Raul Rodriguez‐Esteban et al.
2023 · 192 Zit.