CONCLUSIONS: Compared to moderate neuromuscular blockade, deep neuromuscular blockade while performing RFCA under general anesthesia reduced 12-month AF recurrence rate. Deep neuromuscular blockade under general anesthesia is thought to increase the success rate by providing a stable surgical environment during the RFCA procedure. →
Purpose To evaluate the use of an automated hybrid multidimensional MRI (HM-MRI)-based tool to prospectively identify prostate cancer targets before MRI/US fusion biopsy in comparison with Prostate Imaging and Reporting Data System (PI-RADS)-based multiparametric MRI (mpMRI) evaluation by expert radiologists. Materials and Methods In this prospective clinical trial (ClinicalTrials.gov registration no. NCT03585660), 91 male participants… →
CONCLUSION: Although expressive writing is a pragmatic and accessible intervention, our findings suggested that it was of benefit only to people with low dispositional disgust. Further work is required to establish an effective psychological tool for this under-researched population. →
CONCLUSION: Randomisation of people with MCI to a personalised hearing intervention versus control is feasible. These findings support proceeding to a fully-powered multicentre RCT. →
If you’re a computer vision engineer, you’ve likely noticed how quickly the field is evolving. From autonomous vehicles to healthcare imaging, computer vision isn’t just a tech buzzword—it’s solving real-world problems at an incredible pace. Staying relevant in this fast-changing space can feel overwhelming, but setting clear and focused goals can make you stand out… →
Artificial Intelligence has made significant strides, yet some challenges persist in advancing multimodal reasoning and planning capabilities. Tasks that demand abstract reasoning, scientific understanding, and precise mathematical computations often expose the limitations of current systems. Even leading AI models face difficulties integrating diverse types of data effectively and maintaining logical coherence in their responses. Moreover,… →
Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. Haystack Agents, an innovative feature of the Haystack NLP framework by deepset, exemplifies this new wave of advanced NLP capabilities. Haystack Agents are built to handle scenarios requiring: Complex multi-step reasoning. Integration of external tools… →
Out of the various methods employed in document search systems, “retrieve and rank” has gained quite some popularity. Using this method, the results of a retrieval model are re-ordered according to a re-ranker. Additionally, in the wake of advancements in generative AI and the development of Large Language Models (LLMs), rankers are now capable of… →
Large Language Models (LLMs) have become pivotal in artificial intelligence, powering a variety of applications from chatbots to content generation tools. However, their deployment at scale presents notable challenges. High computational costs, latency, and energy consumption often limit their wider use. Organizations face the difficulty of balancing high throughput with reasonable operating expenses. Additionally, as… →
Have you ever admired how smartphone cameras isolate the main subject from the background, adding a subtle blur to the background based on depth? This “portrait mode” effect gives photographs a professional look by simulating shallow depth-of-field similar to DSLR cameras. In this tutorial, we’ll recreate this effect programmatically using open-source computer vision models, like… →