Artificial intelligence
According to a patent filed on February 13, 2024, and published online on October 14, 2025, a system has been developed to optimize reference file management for artificial intelligence (AI) models. The system's primary goal is to improve the performance and efficiency of AI models by efficiently storing
Language models (Artificial intelligence)
A new study from the Northwestern University Feinberg School of Medicine has shed light on the potential of large language models (LLMs) in reducing the clinical documentation burden in healthcare. The research, which was published in the Journal of Clinical Neuroscience, analyzed clinical notes from 88 patients undergoing spine surgery
Machine learning
According to a patent filed on February 13, 2024, and published online on October 14, 2025, a system has been developed to optimize reference file management for artificial intelligence (AI) models. The system's primary goal is to improve the performance and efficiency of AI models by efficiently storing
Language models (Artificial intelligence)
A new study from the Northwestern University Feinberg School of Medicine has shed light on the potential of large language models (LLMs) in reducing the clinical documentation burden in healthcare. The research, which was published in the Journal of Clinical Neuroscience, analyzed clinical notes from 88 patients undergoing spine surgery
Cloud computing
Researchers at the University of Pittsburgh have proposed a hybrid cloud-edge architecture to deploy Large Language Models (LLMs) in a cost-effective and efficient manner. The proposed system employs a lightweight on-premise LLM to handle bulk user requests, and dynamically offloads complex queries to a powerful cloud-hosted LLM only when necessary.
Machine learning
Researchers from Robert Gordon University, in Aberdeen, UK, have published a study exploring the intersection of machine learning and healthcare. The investigation aims to improve disease classification through symptom-based cluster analysis, leveraging unsupervised machine learning algorithms. The study integrates a Large Language Model (LLM), specifically OpenAI's Generative Pretrained
Artificial intelligence
Recent study results have highlighted the impact of Artificial Intelligence (AI) on scientific writing in medical research. Researchers at the Ankara University School of Medicine found that AI tools, such as ChatGPT, are increasingly being used to support various stages of the scientific writing process. However, concerns have emerged regarding
Language models (Artificial intelligence)
Recent advances in artificial intelligence, particularly large language models (LLMs), have demonstrated potential for mental health applications, including the automated detection of depressive symptoms from natural language. Researchers at Psychiatric University Hospital have fine-tuned a German BERT-based LLM to predict individual Montgomery-Asberg Depression Rating Scale (MADRS) scores using a regression
Artificial intelligence
A recent study from Istanbul Medipol University in Turkey has evaluated the effectiveness of ChatGPT-4, an advanced AI language model, in delivering accurate and relevant information to patients managing tinnitus. Ten ENT specialists rated ChatGPT-4's responses across multiple metrics, demonstrating high accuracy (mean = 85.5%), relevance (mean = 90.
Artificial intelligence
As the United States government pushes for the rapid advancement of artificial intelligence (AI), a regulatory vacuum has emerged, leaving companies facing a patchwork of state regulations and increasing reliance on private civil litigation. To address this crisis, JAMS, a leading provider of alternative dispute resolution (ADR) services, has introduced
Artificial intelligence
In a shocking revelation, OpenAI's new app Sora, designed to generate endless fake videos, has left even its creator, Sam Altman, proclaiming it "the most powerful imagination engine ever built," feeling pessimistic about the future. The app's never-ending feed of AI-generated videos, eerily similar
Machine learning
Mental health challenges significantly contribute to the global burden of disease, but traditional approaches to psychological assessment and care are often resource-intensive and inaccessible. The burgeoning field of artificial intelligence, particularly large language models (LLMs), presents an opportunity to address these constraints. This review synthesizes recent applications of LLMs in
