Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The Tuberculosis Treatment Support Tools (TB-TST) will integrate a Spanish-language AI-powered virtual assistant to enhance TB care. Leveraging Large Language Models for real-time, empathetic, and clinically relevant support, the system aims to improve treatment adherence, expand scalability, and increase access to care while ensuring privacy, linguistic, and cultural relevance.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/SHTI251099 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Larvicidal Effects of Nanoliposomes Containing p-Cresol and Myristica fragrans Houtt. Essential Oil Against Aedes aegypti and Aedes albopictus Mosquitoes.
Neotrop Entomol
September 2025
Dept of Zoology, Government College Univ Lahore, Lahore, Pakistan.
The control of dengue vector mosquitoes by utilizing plant-based eco-friendly larvicides is pivotal in suppressing the spread of dengue with minimum environmental toxicity. This study aimed to evaluate the larvicidal activity of nanoliposomes containing p-cresol and Myristica fragrans Houtt. essential oil (EO) against Aedes aegypti L.
View Article and Find Full Text PDFApproved and emerging therapies for glucocorticoid-refractory chronic graft-versus-host disease.
Curr Opin Immunol
September 2025
Medical Center of Hematology, Institute of Science Innovation for Blood Ecology and Intelligent Cells, Xinqiao Hospital of Army Medical University, Chongqing 400037, China; Chongqing Key Laboratory of Hematology and Microenvironment, Chongqing 400037, China; State Key Laboratory of Trauma and Chemic
Glucocorticoid-refractory chronic graft-versus-host disease (glucocorticoid-refractory cGVHD) remains a major barrier to long-term survival and quality of life following allogeneic hematopoietic stem cell transplantation (allo-HSCT), affecting 30-70% to half of patients with chronic GVHD who fail corticosteroid therapy. In recent years, the Food and Drug Administration (FDA) has approved four agents - ibrutinib, ruxolitinib, belumosudil, and axatilimab - each targeting distinct immune and fibrotic pathways. This review systematically evaluates their mechanisms of action, efficacy across organ systems, and safety profiles while highlighting persistent limitations.
View Article and Find Full Text PDFArtificial intelligence-assisted colonoscopy for colorectal lesion detection: a case-control study on diagnostic accuracy and histopathological agreement.
Arq Bras Cir Dig
September 2025
Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology, Colonoscopy Division - São Paulo (SP), Brazil.
Background: Artificial intelligence (AI)-assisted colonoscopy has emerged as a tool to enhance adenoma detection rates (ADRs) and improve lesion characterization. However, its performance in real-world settings, especially in developing countries, remains uncertain.
Aims: The aim of this study was to evaluate the impact of AI on ADRs and its concordance with histopathological diagnosis.
E-DANN: An Enhanced Domain Adaptation Network for Audio-EEG Feature Decoupling in Explainable Depression Recognition.
IEEE Trans Neural Syst Rehabil Eng
September 2025
Given the significant global health burden caused by depression, numerous studies have utilized artificial intelligence techniques to objectively and automatically detect depression. However, existing research primarily focuses on improving the accuracy of depression recognition while overlooking the explainability of detection models and the evaluation of feature importance. In this paper, we propose a novel framework named Enhanced Domain Adversarial Neural Network (E-DANN) for depression detection.
View Article and Find Full Text PDFDynamic AI-assisted ipsilateral tissue matching for digital breast tomosynthesis.
Eur J Radiol
August 2025
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Purpose: To evaluate whether AI-assisted ipsilateral tissue matching in digital breast tomosynthesis (DBT) reduces localization errors beyond typical tumor boundaries, particularly for non-expert radiologists. The technology category is deep learning.
Materials And Methods: The study consisted of two parts.