Large language models (LLMs) are developed specifically for math, programming, and general autonomous agents and require improvement in reasoning at test time. Various approaches include producing reasoning steps in response to some prompt or using sampling and training models to generate the same step. Reinforcement learning is more likely to give self-exploration and the ability… →
CONCLUSION: The use of OMK2 eye drop after CXL may provide more stable CNFA. In addition, it may also provide faster recovery in CCT. →
CONCLUSIONS: MCIDs for apathy on three scales will help evaluate treatment efficacy at the individual level. However, the modest correspondence between MCID and clinical impression of change suggests the need to consider other scales. →
CONCLUSIONS: Our study recommends that, in the era of medical thoracoscopy, closed pleural biopsy still holds a significant role in the diagnosis of undiagnosed exudative pleural effusions especially where prevalence of tuberculosis is high. It is also a cost effective approach in developing countries like India. →
BACKGROUND: Diagnostic error is a frequent and clinically relevant health-care problem. Whether computerised diagnostic decision support systems (CDDSSs) improve diagnoses is controversial, and prospective randomised trials investigating their effectiveness in routine clinical practice are scarce. We hypothesised that diagnoses made with a CDDSS in the emergency department setting would be superior to unsupported diagnoses. →
BACKGROUND: Postpartum haemorrhage is a leading cause of maternal mortality. A multicountry, cluster-randomised trial (E-MOTIVE) demonstrated a 60% reduction in adverse postpartum haemorrhage outcomes. The E-MOTIVE intervention included early postpartum haemorrhage detection using calibrated blood-collection drapes, followed by a postpartum haemorrhage treatment bundle (ie, uterine massage, oxytocics, tranexamic acid, intravenous fluids, examination and escalation [MOTIVE]),… →
CONCLUSION: This is the first report to demonstrate a link between increased IL-18F levels and pain scales in MLa. IL-18F levels decreased significantly after operation and correlated with IL-18, IL-18BP, and 4-HNE blood levels, and inversely correlated with BPI pain scores. These results support the applicability of acute phase response biomarkers in understanding pain in… →
Understanding implicit meaning is a fundamental aspect of human communication. Yet, current Natural Language Inference (NLI) models struggle to recognize implied entailments—statements that are logically inferred but not explicitly stated. Most current NLI datasets are focused on explicit entailments, making the models insufficiently equipped to deal with scenarios where meaning is indirectly expressed. This limitation… →
LLMs have demonstrated impressive cognitive abilities, making significant strides in artificial intelligence through their ability to generate and predict text. However, while various benchmarks evaluate their perception, reasoning, and decision-making, less attention has been given to their exploratory capacity. Exploration, a key aspect of intelligence in humans and AI, involves seeking new information and adapting… →
Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, combining a vector database and AI-generated responses, has applications across various industries. In customer support, AI chatbots retrieve knowledge base answers dynamically. The legal… →