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Kai J. Borm

Technische Universität München (TUM)

SCHOLARLY PAPERS

2

DOWNLOADS

470

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology

Number of pages: 26 Posted: 07 Jun 2024
Jacqueline Lammert, Tobias Dreyer, Sonja Mathes, Leonid Kuligin, Kai J. Borm, Ulrich A. Schatz, Marion Kiechle, Alisa M. Lörsch, Johannes Jung, Sebastian Lange, Nicole Pfarr, Anna Durner, Kristina Schwamborn, Christof Winter, Dyke Ferber, Jakob Nikolas Kather, Carolin Mogler, Anna Lena Illert and Maximilian Tschochohei
Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Google - Google Germany, Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM) - Institute of Pathology, Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM), Dresden University of Technology, Dresden University of Technology, Technische Universität München (TUM), Technische Universität München (TUM) and Google - Google Germany
Downloads 407 (180,005)
Citation 1

Abstract:

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Generative AI, Large Language Models, LLM, Retrieval-Augmented Generation, RAG, Precision Oncology, Molecular Tumor Board

2.

Insights from Ct-Based Radiomics: Predicting Breast Cancer Radiotherapy Side Effects

Number of pages: 13 Posted: 11 Apr 2024
Oscar Llorián-Salvador, Nora Windeler, Nicole Martin, Lucas Etzel, Miguel A. Andrade-Navarro, Denise Bernhardt, Burkhard Rost, Kai J. Borm, Stephanie Combs, Marciana N. Duma and Jan Caspar Peeken
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Technische Universität München (TUM), Technische Universität München (TUM), affiliation not provided to SSRN and Technische Universität München (TUM)
Downloads 63 (961,006)

Abstract:

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Radiomics, machine learning, Breast cancer, computed tomography, radiotherapy, side effects, skin inflammation, moist cells epitheliolysis, edema