Jinxi Xiang

Jan 8, 2025 | nature.com | Jinxi Xiang |Xiyue Wang |Colin Bergstrom |Kun-Hsing Yu |Jeffrey J. Nirschl |Joel W Neal | +1 more

AbstractClinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care1,2. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models.

May 27, 2023 | arxiv.org | Jinxi Xiang |Xiyue Wang |Jun Zhang |Junzhou Huang

arXiv:2204.03257 (cs) [Submitted on 7 Apr 2022 (v1), last revised 27 May 2023 (this version, v2)] Download a PDF of the paper titled Deep learning-based approach to reveal tumor mutational burden status from whole slide images across multiple cancer types, by Siteng Chen and 8 other authors Download PDF Submission history From: Jinxi Xiang [ view email] [v1] Thu, 7 Apr 2022 07:02:32 UTC (1,762 KB) [v2] Sat, 27 May 2023 09:36:11 UTC (351 KB) Bibliographic Tools Bibliographic Explorer Toggle...