Deep learning techniques are increasingly applied to neuroimaging analysis, with 3D CNNs offering superior performance for volumetric imaging. However, their reliance on large datasets is challenging due to the high cost and effort required for medical data collection and annotation. As an alternative, 2D CNNs utilize 2D projections of 3D images, which often limits volumetric… →
The rapid development of artificial intelligence (AI) has produced models with powerful capabilities, such as language understanding and vision processing. However, deploying these models on edge devices remains challenging due to limitations in computational power, memory, and energy efficiency. The need for lightweight models that can run effectively on edge devices, while still delivering competitive… →
CONCLUSION: The findings suggest a knowledge gap in the safety and effectiveness of smoking cessation medications, specifically in relation to cancer care. Addressing this knowledge gap may increase medication uptake, adherence, and quit rates. Cancer care providers are seen as instrumental in emphasizing the importance and safety of smoking cessation medications as well as patient… →
Machine learning is advancing rapidly, particularly in areas requiring extensive data processing, such as natural language understanding and generative AI. Researchers are constantly striving to design algorithms that maximize computational efficiency while improving the accuracy and performance of large-scale models. These efforts are critical for building systems capable of managing the complexities of language representation,… →
CONCLUSIONS: Intra-articular injections of corticosteroids are better than NSAIDs in reducing pain and improving mouth opening in patients suffering from TMD due to DDwoR. →
CONCLUSION: The results suggest that AI-simulated medical history conversations can support CDM training, especially when combined with structured feedback. Such training format may serve as a cost-effective supplement to existing training methods, better preparing students for real medical history conversations. →
The International Staging System for multiple myeloma recently underwent a second revision (R2-ISS) to include gain/amplification of 1q21 and account for the additive prognostic significance of multiple high-risk features. The phase 3 ICARIA-MM (isatuximab-pomalidomide-dexamethasone vs. pomalidomide-dexamethasone) and IKEMA (isatuximab-carfilzomib-dexamethasone vs. carfilzomib-dexamethasone) studies provide large datasets for retrospectively validating the prognostic value of the R2-ISS in… →
CONCLUSION: CRP-POCT is a cost-effective intervention for safely reducing antibiotic consumption in patients with AECOPD. →
Generative AI (Gen AI) is transforming the landscape of artificial intelligence, opening up new opportunities for creativity, problem-solving, and automation. Despite its potential, several challenges arise for developers and businesses when implementing Gen AI solutions. One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers.… →
Large language models (LLMs) with long-context processing capabilities have revolutionized technological applications across multiple domains. Recent advancements have enabled sophisticated use cases including repository-level coding assistance, multi-document analysis, and autonomous agent development. These models demonstrate remarkable potential in handling extensive contextual information, requiring advanced mechanisms to retrieve and integrate dispersed details effectively. However, the current… →