CONCLUSIONS AND RELEVANCE: In this secondary analysis of the ELEKT-D randomized clinical trial of ECT vs ketamine, greater improvement in depression was observed with intravenous ketamine among outpatients with nonpsychotic TRD who had moderately severe or severe depression, suggesting that these patients may consider ketamine over ECT for TRD. →
Background Diagnosing osteoporosis is challenging due to its often asymptomatic presentation, which highlights the importance of providing screening for high-risk populations. Purpose To evaluate the effectiveness of dual-energy x-ray absorptiometry (DXA) screening in high-risk patients with osteoporosis identified by an artificial intelligence (AI) model using chest radiographs. Materials and Methods This randomized controlled trial conducted… →
CONCLUSIONS: In this phase 1/2 trial, AVT001 did not result in dose-limiting adverse events. Potential signals of efficacy observed here warrant further evaluation in a fully powered trial. (Funded by Avotres Inc. and the Division of Diabetes, Endocrinology, and Metabolic Diseases; ClinicalTrials.gov number, NCT03895996.). →
Exploring new frontiers in cybersecurity is essential as digital threats evolve. Traditional approaches, such as manual source code audits and reverse engineering, have been foundational in identifying vulnerabilities. Yet, the surge in the capabilities of Large Language Models (LLMs) presents a unique opportunity to transcend these conventional methods, potentially uncovering and mitigating previously undetectable security… →
NuMind introduces NuExtract, a cutting-edge text-to-JSON language model that represents a significant advancement in structured data extraction from text. This model aims to transform unstructured text into structured data highly efficiently. The innovative design and training methodologies used in NuExtract position it as a superior alternative to existing models, providing high performance and cost-efficiency. Image… →
Retrieval-Augmented Generation (RAG) methods enhance the capabilities of large language models (LLMs) by incorporating external knowledge retrieved from vast corpora. This approach is particularly beneficial for open-domain question answering, where detailed and accurate responses are crucial. By leveraging external information, RAG systems can overcome the limitations of relying solely on the parametric knowledge embedded in… →
CONCLUSION: The relative suppression of event rates and antipyretic medications taken, and significant decrease of subclinical BT support the anti-inflammatory effects of cR in asymptomatic or mildly symptomatic patients with COVID-19. →
In today’s rapidly advancing technological world, efficiently managing complex tasks is a significant challenge. Breaking down extensive objectives into manageable parts and coordinating multiple processes to achieve a cohesive final output can be daunting. This task management problem becomes even more pronounced when working with AI models, which can sometimes produce fragmented or incomplete results.… →
Sleep is a vital physiological process that is intricately linked to overall health. However, accurately assessing sleep and diagnosing sleep disorders remains a complex task due to the need for multi-modal data interpretation, typically obtained through polysomnography (PSG). Current methods for sleep monitoring and analysis often rely on extensive manual evaluation by trained technicians, which… →
Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data analysis, and application development. Its features include text generation, error detection, security configuration, and resource management. Learning about Gemini’s functionalities is important because it can significantly improve productivity, efficiency, and accuracy in diverse… →