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University Hospital Regensburg

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial intelligence in orthodontics

Felix Kunz, Angelika Stellzig‐Eisenhauer, Florian Zeman et al.

2019 · 212 Zit.

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.

2024 · 124 Zit.

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 84 Zit.

Face the Future—Artificial Intelligence in Oral and Maxillofacial Surgery

Maximilian Miragall, Samuel Knoedler, Martin Kauke‐Navarro et al.

2023 · 63 Zit.

Sailing the Seven Seas: A Multinational Comparison of ChatGPT’s Performance on Medical Licensing Examinations

Michael Alfertshofer, Cosima C. Hoch, Paul F. Funk et al.

2023 · 59 Zit.

Pure Wisdom or Potemkin Villages? A Comparison of ChatGPT 3.5 and ChatGPT 4 on USMLE Step 3 Style Questions: Quantitative Analysis

Leonard Knoedler, Michael Alfertshofer, Samuel Knoedler et al.

2024 · 48 Zit.

Normative Approaches for Oral Health: Standards, Specifications, and Guidelines

Gottfried Schmalz, Nicholas S. Jakubovics, Falk Schwendicke

2021 · 27 Zit.

In-depth analysis of ChatGPT’s performance based on specific signaling words and phrases in the question stem of 2377 USMLE step 1 style questions

Leonard Knoedler, Samuel Knoedler, Cosima C. Hoch et al.

2024 · 24 Zit.

Quality criteria for randomized controlled studies: obstetrical journal guidelines

Kathryn Anderson, Roberto Romero, Anthony Odibo et al.

2021 · 22 Zit.

Analyzing Large Language Models’ Responses to Common Lumbar Spine Fusion Surgery Questions: A Comparison Between ChatGPT and Bard

Siegmund Lang, Ezra Yoseph, Aneysis D. Gonzalez-Suarez et al.

2024 · 19 Zit.

Toward Foundation Models in Radiology? Quantitative Assessment of GPT-4V’s Multimodal and Multianatomic Region Capabilities

Quirin Strotzer, Felix Nieberle, Laura S. Kupke et al.

2024 · 19 Zit.

Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, T. Koch, Sabrina Rauh et al.

2023 · 18 Zit.

Orthopaedic surgeons display a positive outlook towards artificial intelligence: A survey among members of the AGA Society for Arthroscopy and Joint Surgery

Marco‐Christopher Rupp, Lukas B. Moser, Silvan Hess et al.

2024 · 16 Zit.

Is the information provided by large language models valid in educating patients about adolescent idiopathic scoliosis? An evaluation of content, clarity, and empathy

Siegmund Lang, Jacopo Antonino Vitale, Fabio Galbusera et al.

2024 · 11 Zit.

Are large language models valid tools for patient information on lumbar disc herniation? The spine surgeons' perspective

Siegmund Lang, Jacopo Antonino Vitale, T. Fekete et al.

2024 · 10 Zit.