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JMIR Mhealth and Uhealth
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August 27, 2021
Digital Natives' Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study
Sarah Haggenmüller, Eva Krieghoff-Henning, Tanja Jutzi, et al.
NPJ Precision Oncology
|
October 24, 2024
Large language model use in clinical oncology
Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, et al.
Plos One
|
January 19, 2024
Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study
Christoph Wies, Lucas Schneider, Sarah Haggenmüller, et al.
JAMA Dermatology
|
March 25, 2026
Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis
Sara Laiouar-Pedari, Arlene Kühn, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
December 16, 2025
Enhancing clinicians' trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology
Nicolas Carl, Martin Joachim Hetz, Christoph Wies, et al.
European Urology Open Science
|
November 7, 2024
Comparing Patient's Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists
Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, et al.
BJU International
|
February 19, 2025
Evaluating interactions of patients with large language models for medical information
Nicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
July 23, 2021
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours
Titus J Brinker, Lennard Kiehl, Max Schmitt, et al.
European Journal of Cancer (Oxford, England : 1990)
|
January 10, 2021
Robustness of convolutional neural networks in recognition of pigmented skin lesions
Roman C Maron, Sarah Haggenmüller, Christof von Kalle, et al.
European Journal of Cancer (Oxford, England : 1990)
|
August 13, 2021
A benchmark for neural network robustness in skin cancer classification
Roman C Maron, Justin G Schlager, Sarah Haggenmüller, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
JMIR Mhealth and Uhealth
|
August 27, 2021
Digital Natives' Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study
Sarah Haggenmüller, Eva Krieghoff-Henning, Tanja Jutzi, et al.
NPJ Precision Oncology
|
October 24, 2024
Large language model use in clinical oncology
Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, et al.
Plos One
|
January 19, 2024
Evaluating deep learning-based melanoma classification using immunohistochemistry and routine histology: A three center study
Christoph Wies, Lucas Schneider, Sarah Haggenmüller, et al.
JAMA Dermatology
|
March 25, 2026
Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis
Sara Laiouar-Pedari, Arlene Kühn, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
December 16, 2025
Enhancing clinicians' trust in large language models via transparent source attribution: A randomized controlled evaluation in uro-oncology
Nicolas Carl, Martin Joachim Hetz, Christoph Wies, et al.
European Urology Open Science
|
November 7, 2024
Comparing Patient's Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists
Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, et al.
BJU International
|
February 19, 2025
Evaluating interactions of patients with large language models for medical information
Nicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
European Journal of Cancer (Oxford, England : 1990)
|
July 23, 2021
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours
Titus J Brinker, Lennard Kiehl, Max Schmitt, et al.
European Journal of Cancer (Oxford, England : 1990)
|
January 10, 2021
Robustness of convolutional neural networks in recognition of pigmented skin lesions
Roman C Maron, Sarah Haggenmüller, Christof von Kalle, et al.
European Journal of Cancer (Oxford, England : 1990)
|
August 13, 2021
A benchmark for neural network robustness in skin cancer classification
Roman C Maron, Justin G Schlager, Sarah Haggenmüller, et al.
Page
of 2