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Studies in Health Technology and Informatics
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May 12, 2026
Patient Consent for Secondary Use of Health Data: Insights from Re-Consenting Biobank Donors
Sonja Langthaler, Philipp Ortner, Dieter Platzer, et al.
Histopathology
|
February 17, 2025
Comparative performance of PD-L1 scoring by pathologists and AI algorithms
Markus Plass, Gheorghe-Emilian Olteanu, Sanja Dacic, et al.
New Biotechnology
|
June 9, 2023
BIBBOX, a FAIR toolbox and App Store for life science research
Heimo Müller, Catarina Lopes-Dias, Petr Holub, et al.
Communications Medicine
|
August 15, 2024
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer
Nic G Reitsam, Bianca Grosser, David F Steiner, et al.
Frontiers in Digital Health
|
November 3, 2025
An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype
Rutger van Mierlo, Wenjie Liang, Kerli Norak, et al.
Artificial Intelligence in Medicine
|
January 29, 2026
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology
Gernot Fiala, Markus Plass, Robert Harb, et al.
NPJ Precision Oncology
|
September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, et al.
JAMA Network Open
|
March 14, 2023
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification
Vincenzo L'Imperio, Ellery Wulczyn, Markus Plass, et al.
Journal of Pathology Informatics
|
July 10, 2024
Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative
Norman Zerbe, Lars Ole Schwen, Christian Geißler, et al.
Communications Medicine
|
April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
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of 3
Search research articles
Search
Showing results (11-20 of 25) with videos related to
Sort By:
Page
of 3
Studies in Health Technology and Informatics
|
May 12, 2026
Patient Consent for Secondary Use of Health Data: Insights from Re-Consenting Biobank Donors
Sonja Langthaler, Philipp Ortner, Dieter Platzer, et al.
Histopathology
|
February 17, 2025
Comparative performance of PD-L1 scoring by pathologists and AI algorithms
Markus Plass, Gheorghe-Emilian Olteanu, Sanja Dacic, et al.
New Biotechnology
|
June 9, 2023
BIBBOX, a FAIR toolbox and App Store for life science research
Heimo Müller, Catarina Lopes-Dias, Petr Holub, et al.
Communications Medicine
|
August 15, 2024
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer
Nic G Reitsam, Bianca Grosser, David F Steiner, et al.
Frontiers in Digital Health
|
November 3, 2025
An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype
Rutger van Mierlo, Wenjie Liang, Kerli Norak, et al.
Artificial Intelligence in Medicine
|
January 29, 2026
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology
Gernot Fiala, Markus Plass, Robert Harb, et al.
NPJ Precision Oncology
|
September 26, 2023
Colorectal cancer risk stratification on histological slides based on survival curves predicted by deep learning
Julia Höhn, Eva Krieghoff-Henning, Christoph Wies, et al.
JAMA Network Open
|
March 14, 2023
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification
Vincenzo L'Imperio, Ellery Wulczyn, Markus Plass, et al.
Journal of Pathology Informatics
|
July 10, 2024
Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative
Norman Zerbe, Lars Ole Schwen, Christian Geißler, et al.
Communications Medicine
|
April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
Justin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
Page
of 3