Results 171 to 180 of about 143,973 (327)

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT [PDF]

open access: yesarXiv
Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radiological, endoscopic, and histological features - particularly granulomas, making it challenging to clinically differentiate them. Our research leverages 3D CTE scans, computer vision, and machine learning to improve this differentiation to avoid harmful ...
arxiv  

Ten‐year follow‐up of a case of eosinophilic granulomatous with polyangiitis

open access: yes
ESC Heart Failure, Volume 12, Issue 3, Page 2361-2366, June 2025.
Jiange Qiao   +6 more
wiley   +1 more source

Eosinophilic Granuloma of the Temporal Bone in an Adult: Controversies in the Management [PDF]

open access: yes, 2012
Eosinophilic granuloma is a rare, benign, lesion characterized by uncontrolled proliferation of Langerhan’s cells. It is commonly found in a bone and has been described in almost every bone in the body.
Damir Sauerborn   +2 more
core   +1 more source

Multifocal eosinophilic granuloma of the jaws with long-term follow-up: a case report. [PDF]

open access: yesHua Xi Kou Qiang Yi Xue Za Zhi, 2021
Si YC, Liu Q, Hou HJ, Huang P.
europepmc   +1 more source

Understanding Sarcoidosis Using Large Language Models and Social Media Data [PDF]

open access: yesJournal of Healthcare Informatics Research, 2024
Sarcoidosis is a rare inflammatory disease characterized by the formation of granulomas in various organs. The disease presents diagnostic and treatment challenges due to its diverse manifestations and unpredictable nature. In this study, we employed a Large Language Model (LLM) to analyze sarcoidosis-related discussions on the social media platform ...
arxiv  

Eosinophilic granuloma of the mandible: a diagnostic dilemma

open access: yesBMJ Case Reports, 2014
R. Sherwani, K. Akhtar, S. Qadri, P. Ray
semanticscholar   +1 more source

Advancing Chronic Tuberculosis Diagnostics Using Vision-Language Models: A Multi modal Framework for Precision Analysis [PDF]

open access: yesarXiv
Background: This study proposes a Vision-Language Model (VLM) leveraging the SIGLIP encoder and Gemma-3b transformer decoder to enhance automated chronic tuberculosis (TB) screening. By integrating chest X-ray images with clinical data, the model addresses the challenges of manual interpretation, improving diagnostic consistency and accessibility ...
arxiv  

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