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Challenges in AI Based Tumor Board Case Summarization and Recommendations.

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Title: Challenges in AI Based Tumor Board Case Summarization and Recommendations.
Authors: Yim WW; Microsoft Health AI, USA., Damm H; Department of Computer Science, University of Applied Sciences and Arts Dortmund (FHDO), Germany.; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Germany., Pakull TMG; Department of Computer Science, University of Applied Sciences and Arts Dortmund (FHDO), Germany.; Institute for Transfusion Medicine, University Hospital Essen, Germany., Preston S; Microsoft Health AI, USA., Keyes T; Department of Medicine, Stanford University, USA., Ellis-Caleo TJ; Department of Medicine, Stanford University, USA., Sun Z; Department of Biomedical Informatics and Medical Education, University of Washington, USA., Yetisgen M; Department of Biomedical Informatics and Medical Education, University of Washington, USA., Codella N; Microsoft Health AI, USA., Wei M; Microsoft Health AI, USA., Bekheet F; Department of Medicine, Stanford University, USA., Neal JW; Department of Medicine, Stanford University, USA., Shah N; Department of Medicine, Stanford University, USA., Eryılmaz B; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany., Nensa F; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany., Livingstone E; Department of Dermatology, University Hospital Essen, Germany., Friedrich CM; Department of Computer Science, University of Applied Sciences and Arts Dortmund (FHDO), Germany.; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Germany., Lodde G; Department of Dermatology, University Hospital Essen, Germany.
Source: Research square [Res Sq] 2026 Jun 16. Date of Electronic Publication: 2026 Jun 16.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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              Text: 2026 Jun 16
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