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NPJ Digital Medicine
|
March 22, 2026
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems
Oscar Freyer, Rebecca Mathias, Hannah Sophie Muti, et al.
Journal of Surgical Education
|
February 9, 2025
Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions
Jean-Paul Bereuter, Mark Enrik Geissler, Anna Klimova, et al.
Plos Computational Biology
|
February 4, 2022
Classical mathematical models for prediction of response to chemotherapy and immunotherapy
Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, et al.
Frontiers in Genetics
|
March 7, 2022
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine T Gaisa, Hannah Sophie Muti, et al.
Computers in Biology and Medicine
|
April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance
Jan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
International Journal of Surgery (London, England)
|
July 18, 2025
Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study
Esther Helene Stueker, Fiona R Kolbinger, Oliver Lester Saldanha, et al.
Communications Medicine
|
October 10, 2023
The future landscape of large language models in medicine
Jan Clusmann, Fiona R Kolbinger, Hannah Sophie Muti, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
June 3, 2023
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study
Gregory Patrick Veldhuizen, Christoph Röcken, Hans-Michael Behrens, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
October 20, 2022
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
Oliver Lester Saldanha, Hannah Sophie Muti, Heike I Grabsch, et al.
Nature Biomedical Engineering
|
October 1, 2025
Benchmarking foundation models as feature extractors for weakly supervised computational pathology
Peter Neidlinger, Omar S M El Nahhas, Hannah Sophie Muti, et al.
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Search research articles
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Showing results (1-10 of 23) with videos related to
Sort By:
Page
of 3
NPJ Digital Medicine
|
March 22, 2026
The regulation of artificial intelligence in intensive care units: from narrow tools to generalist systems
Oscar Freyer, Rebecca Mathias, Hannah Sophie Muti, et al.
Journal of Surgical Education
|
February 9, 2025
Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions
Jean-Paul Bereuter, Mark Enrik Geissler, Anna Klimova, et al.
Plos Computational Biology
|
February 4, 2022
Classical mathematical models for prediction of response to chemotherapy and immunotherapy
Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, et al.
Frontiers in Genetics
|
March 7, 2022
Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types
Chiara Maria Lavinia Loeffler, Nadine T Gaisa, Hannah Sophie Muti, et al.
Computers in Biology and Medicine
|
April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance
Jan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
International Journal of Surgery (London, England)
|
July 18, 2025
Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study
Esther Helene Stueker, Fiona R Kolbinger, Oliver Lester Saldanha, et al.
Communications Medicine
|
October 10, 2023
The future landscape of large language models in medicine
Jan Clusmann, Fiona R Kolbinger, Hannah Sophie Muti, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
June 3, 2023
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study
Gregory Patrick Veldhuizen, Christoph Röcken, Hans-Michael Behrens, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
October 20, 2022
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
Oliver Lester Saldanha, Hannah Sophie Muti, Heike I Grabsch, et al.
Nature Biomedical Engineering
|
October 1, 2025
Benchmarking foundation models as feature extractors for weakly supervised computational pathology
Peter Neidlinger, Omar S M El Nahhas, Hannah Sophie Muti, et al.
Page
of 3