Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis
Abstract Background Differentiating between Crohn's disease (CD) and intestinal
tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate …
tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate …
Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework
J Lin, S Zhu, M Yin, H Xue, L Liu, X Liu, L Liu, C Xu… - Heliyon, 2024 - cell.com
Background and aim Standard deep learning methods have been found inadequate in
distinguishing between intestinal tuberculosis (ITB) and Crohn's disease (CD), a …
distinguishing between intestinal tuberculosis (ITB) and Crohn's disease (CD), a …
A novel multidisciplinary machine learning approach based on clinical, imaging, colonoscopy, and pathology features for distinguishing intestinal tuberculosis from …
B Lu, Z Huang, J Lin, R Zhang, X Shen, L Huang… - Abdominal …, 2024 - Springer
Objectives Differentiating intestinal tuberculosis (ITB) from Crohn's disease (CD) remains a
diagnostic dilemma. Misdiagnosis carries potential grave implications. We aim to establish a …
diagnostic dilemma. Misdiagnosis carries potential grave implications. We aim to establish a …
Network Clinical collaboration to improve quality of care of patients with inflammatory bowel disease in China
R Mao, S Chien Ng, M Chen - Inflammatory Bowel Diseases, 2022 - academic.oup.com
Lay Summary The burden of IBD management in China is increasing due to the mounting
number of patients. We presented in the 2021 China IBD Special Issue a series of original …
number of patients. We presented in the 2021 China IBD Special Issue a series of original …
Prognostic nomograms for lung neuroendocrine carcinomas based on lymph node ratio: a SEER database analysis
L Xiong, Y Jiang, T Hu - Journal of International Medical …, 2022 - journals.sagepub.com
Objective The current study aimed to explore the prognostic value of the lymph node ratio
(LNR) in patients with lung neuroendocrine carcinomas (LNECs). Methods Data for 1564 …
(LNR) in patients with lung neuroendocrine carcinomas (LNECs). Methods Data for 1564 …
Nomogram and machine learning models predict 1-year mortality risk in patients with sepsis-induced cardiorenal syndrome
Y Liu, Y Zhang, X Zhang, X Liu, Y Zhou, Y Jin… - Frontiers in …, 2022 - frontiersin.org
Objective Early prediction of long-term outcomes in patients with sepsis-induced cardiorenal
syndrome (CRS) remains a great challenge in clinical practice. Herein, we aimed to …
syndrome (CRS) remains a great challenge in clinical practice. Herein, we aimed to …
[PDF][PDF] 小肠CT 及双气囊小肠镜诊断克罗恩病患者的差异性分析
李文杰， 张其德， 孙仁虎， 张婷， 韩树堂 - 现代生物医学进展, 2021 - biomed.cnjournals.com
摘要目的: 探究小肠CT 及双气囊小肠镜诊断克罗恩病患者的差异性. 方法: 选择2017 年4
月至2019 年3 月于我院接受治疗的60 例克罗恩病患者, 分别实施小肠CT 及双气囊小肠镜检测 …
月至2019 年3 月于我院接受治疗的60 例克罗恩病患者, 分别实施小肠CT 及双气囊小肠镜检测 …
慢性阻塞性肺疾病病人运动性低氧发生风险预测模型的建立.
韦美英， 黄月初， 王敏庆 - Chinese Nursing Research, 2023 - search.ebscohost.com
摘要目的: 探讨慢性阻塞性肺疾病(COPD) 病人运动性低氧(EID) 发生的影响因素,
并构建风险预测模型. 方法: 采用便利抽样法, 选取2021 年1 月—2022 年10 …
并构建风险预测模型. 方法: 采用便利抽样法, 选取2021 年1 月—2022 年10 …
[HTML][HTML] Intestinal tuberculosis or Crohn's disease: Illusion or delusion or allusion
S Kedia, V Ahuja - JGH Open: an Open Access Journal of …, 2021 - ncbi.nlm.nih.gov
Tuberculosis (TB) has reveled in its ability at clever disguise, cunning deceit, and
masquerading as any disease beyond any logic. Interestingly, these illusory presentations of …
masquerading as any disease beyond any logic. Interestingly, these illusory presentations of …
A diagnostic model based on routine blood examination for serious bacterial infections in neonates–a cross-sectional study
R Liang, Z Chen, S Yang, J Yang, Z Wang… - Epidemiology & …, 2023 - cambridge.org
Routine blood examination is an easy way to examine infectious diseases. This study is
aimed to develop a model to diagnose serious bacterial infections (SBI) in ICU neonates …
aimed to develop a model to diagnose serious bacterial infections (SBI) in ICU neonates …