The evaluation of artificial intelligence models, particularly large language models (LLMs), is a rapidly evolving research field. Researchers are focused on developing more rigorous benchmarks to assess the capabilities of these models across a wide range of complex tasks. This field is essential for advancing AI technology as it provides insights into the strengths &… →
Conducting functional assessments remotely can help alleviate the burden of in-person assessment on patients with Duchenne muscular dystrophy and their caregivers. The objective of this study was to evaluate whether scores from remote functional assessment of patients with Duchenne muscular dystrophy correspond to in-person scores on the same functional assessments. Remote live stream versus in-person… →
Feedback is crucial for student success, especially in large computing classes facing increasing demand. Automated tools, incorporating analysis techniques and testing frameworks, are gaining popularity but often need more helpful suggestions. Recent advancements in large language models (LLMs) show promise in offering rapid, human-like feedback. However, concerns about the accuracy, reliability, and ethical implications of… →
Large Language Models (LLMs) like GPT 3.5 and GPT 4 have recently gained a lot of attention in the Artificial Intelligence (AI) community. These models are made to process enormous volumes of data, identify patterns, and produce language that resembles that of a human being in response to cues. One of their primary characteristics is… →
Recently, there’s been a surge in the adoption of Integrated Speech and Large Language Models (SLMs), which can understand spoken commands and generate relevant text responses. However, concerns linger regarding their safety and robustness. LLMs, with their extensive capabilities, raise the need to address potential harm and guard against misuse by malicious users. Although developers… →
CONCLUSION AND RELEVANCE: In this randomized clinical trial of a web-based self-help intervention for patients with BED, the findings confirmed its effectiveness in reducing binge eating episodes and improving various mental health outcomes, highlighting a scalable solution to bridge the treatment gap for this condition. →
CONCLUSIONS AND RELEVANCE: In this comparative effectiveness study of pediatric patients with AML treated in 2 consecutive clinical trials, Black patients had worse outcomes compared with White patients after treatment with standard induction therapy, but this disparity was eliminated by treatment with augmented induction therapy. When accounting for ACS10 scores, no outcome disparities were seen… →
CONCLUSIONS: Intraoperative periarticular injection of glucocorticoids has similar analgesic effect compared to intravenous in the postoperative period following TKA and may be even more effective on the second postoperative day. In addition, periarticular injection of glucocorticoids does not impose an excess risk or complication on patients. →
CONCLUSION: The implementation of a respiratory rehabilitation treatment plan with the Powerbreathe Plus® device, aerobic exercise and neurorehabilitation with olfactory and gustatory training, is a therapeutic option against respiratory and neurological sequelae in patients who have suffered such sequelae due to the SARS-CoV-2 virus. Clinicaltrials.gov: NCT05195099. First posted 18/01/2022; Last Update Posted 29/06/2022. →