Multimodal reasoning is an evolving field that integrates visual and textual data to enhance machine intelligence. Traditional artificial intelligence models excel at processing either text or images but often struggle when required to reason across both formats. Analyzing charts, graphs, mathematical symbols, and complex visual patterns alongside textual descriptions is crucial for applications in education,… →
VLMs have shown notable progress in perception-driven tasks such as visual question answering (VQA) and document-based visual reasoning. However, their effectiveness in reasoning-intensive tasks remains limited due to the scarcity of high-quality, diverse training datasets. Existing multimodal reasoning datasets have several shortcomings: some focus too narrowly on specific scientific imagery, others rely on synthetic data… →
CONCLUSIONS AND RELEVANCE: In this cluster randomized clinical trial of rural clinics, mailed FIT outreach and patient navigation boosted participation in CRC screening among Medicaid enrollees. More efforts are needed to address low participation in both FIT testing and follow-up colonoscopy. →
BACKGROUNDImmune checkpoint blockade (ICB) is an effective treatment in a subset of patients diagnosed with head and neck squamous cell carcinoma (HNSCC); however, the majority of patients are refractory.METHODSIn a nonrandomized, open-label Phase 1b clinical trial, participants with recurrent and/or metastatic (R/M) HNSCC were treated with low-dose 5-azacytidine (5-aza) daily for either 5 or 10… →
BACKGROUNDThis study examined the underlying cellular mechanisms associated with insulin resistance (IR) and metabolic disease risk within subcutaneous adipose tissue (SAT) in youth with obesity and IR compared with those without IR.METHODSThirteen adolescents who were insulin sensitive (IS) and 17 adolescents with IR and obesity underwent a 3-hour oral glucose tolerance test and MRI to… →
CONCLUSION: High-dose vitamin D₃ supplementation is more effective than low-dose supplementation in reducing tic severity and increasing serum 25(OH)D levels in children with CTDs. These findings suggest that high-dose vitamin D₃ may serve as a valuable adjunctive therapy for managing CTDs. →
Machine learning has expanded beyond traditional Euclidean spaces in recent years, exploring representations in more complex geometric structures. Non-Euclidean representation learning is a growing field that seeks to capture the underlying geometric properties of data by embedding it in hyperbolic, spherical, or mixed-curvature product spaces. These approaches have been particularly useful in modeling hierarchical, structured,… →
Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become an essential part of many applications, from digitizing documents to extracting information from scanned images. In this tutorial, we will build an OCR app that runs… →
In this article, we explore different methods for detecting text in images using OpenCV’s built-in models and discuss text removal techniques using image inpainting. OpenCV, one of the most powerful and widely used open-source computer vision libraries, provides several deep-learning-based models for text detection, including EAST, DB50, and DB18. We will compare the performance of… →