CONCLUSIONS: In newly diagnosed T1DM adults, TIR is high and hypoglycemia risk is low. The study group was small; however, the data suggest that the use of isCGM soon after T1DM diagnosis could result in mean glucose decrease, but not in change in TB70 and FoH. →
CONCLUSIONS AND RELEVANCE: While there were substantial differences in outcome for stage IIA versus IIB/III patients at 4 years of follow-up, the addition of 2 years of palbociclib did not improve outcomes for patients, regardless of stage. →
CONCLUSION: 4D noise reduction TMIP-CTA based on DCTA reconstruction significantly improves the quality of pulmonary artery CTPA images and increases the clinical diagnostic rate, with potential for clinical dissemination. →
CONCLUSION: PTH, serum-adjusted Calcium, and adenoma size and volume were all significantly reduced by PTx and PEA, with no significant difference between them. PEA is an effective alternative to PTx, particularly in adenomas with a volume of less than 425.5 mm3 and a maximum diameter of 13.5 mm. →
The most common cause of rotator cuff injury is supraspinatus tendon tears (STTs). High-intensity laser therapy (HILT) has recently emerged as an important conservative treatment option. This study was designed as a randomised controlled trial in patients with partial STTs to compare the effects of HILT with those of ultrasound (US) therapy. Fifty patients between… →
The advancement of artificial intelligence (AI) and machine learning (ML) has enabled transformative progress across diverse fields. However, the “system domain,” which focuses on optimizing and managing foundational AI infrastructure, remains relatively underexplored. This domain involves critical tasks such as diagnosing hardware issues, optimizing configurations, managing workloads, and evaluating system performance. These tasks often present… →
Large language models (LLMs) have introduced impressive capabilities, particularly in reasoning tasks. Models like OpenAI’s O1 utilize “long-thought reasoning,” where complex problems are broken into manageable steps and solutions are refined iteratively. While this approach enhances problem-solving, it comes at a cost: extended output sequences lead to increased computational time and energy use. These inefficiencies… →
Smartphones are essential tools in dAIly life. However, the complexity of tasks on mobile devices often leads to frustration and inefficiency. Navigating applications and managing multi-step processes consumes time and effort. Advancements in AI have introduced large multimodal models (LMMs) that enable mobile assistants to perform intricate operations autonomously. While these innovations aim to simplify… →
The study of autonomous agents powered by large language models (LLMs) has shown great promise in enhancing human productivity. These agents are designed to assist in various tasks such as coding, data analysis, and web navigation. They allow users to focus on creative and strategic work by automating routine digital tasks. However, despite the advancements,… →
The advent of advanced AI models has led to innovations in how machines process information, interact with humans, and execute tasks in real-world settings. Two emerging pioneering approaches are large concept models (LCMs) and large action models (LAMs). While both extend the foundational capabilities of large language models (LLMs), their objectives and applications diverge. LCMs… →