University Hospital Magdeburg
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark
Titus J. Brinker, Achim Hekler, Axel Hauschild et al.
2019 · 153 Zit.
Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
Andrew A. Gumbs, Isabella Frigerio, Gaya Spolverato et al.
2021 · 152 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 137 Zit.
Factors affecting ChatGPT use in education employing TAM: A Jordanian universities’ perspective
Muhammad Turki Alshurideh, Asma Jdaitawi, Lilana Sukkari et al.
2024 · 113 Zit.
Interobserver agreement and efficacy of consensus reading in Kwak-, EU-, and ACR-thyroid imaging recording and data systems and ATA guidelines for the ultrasound risk stratification of thyroid nodules
Philipp Seifert, Rainer Görges, Michael Zimny et al.
2019 · 46 Zit.
White paper: definitions of artificial intelligence and autonomous actions in clinical surgery
Andrew A. Gumbs, F. Alexander, Konrad Karcz et al.
2022 · 30 Zit.
STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability
Jinghong Chen, Lingxuan Zhu, Weiming Mou et al.
2024 · 27 Zit.
Surgical phase and instrument recognition: how to identify appropriate dataset splits
Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer et al.
2024 · 8 Zit.
Artificial intelligence and the impact of multiomics on the reporting of case reports
Aishwarya Boini, Vincent Grasso, Heba Taher et al.
2025 · 8 Zit.
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.
2025 · 7 Zit.
Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey
Nikdokht Rashidian, Mohammad Abu Hilal, Isabella Frigerio et al.
2024 · 6 Zit.
White paper: requirements for routine data recording in the operating room
Thomas Schnelldorfer, Andrew A. Gumbs, Jennifer Tolkoff et al.
2024 · 6 Zit.
Artificial Intelligence Surgery: How Autonomous Actions and Surgiomics Can Decrease Risk in High-Risk Surgery
Nouredin Messaoudi, Andrew A. Gumbs
2024 · 3 Zit.
Editorial: Machine learning-assisted diagnosis and treatment of endocrine-related diseases
Heng Zhang, Ulf D. Kahlert, Wenjie Shi
2023 · 2 Zit.
Integrating Genomics, Radiomics, and Pathomics in Oncology: A Scoping Review and a Framework for AI-Enabled Surgomics
Selma Mtoor, Niki Rashidian, Nouredin Messaoudi et al.
2026 · 2 Zit.