Artificial intelligence
A comprehensive study by the Premiere Research Institute has critically assessed existing theories, conceptual models, and frameworks to explain the acceptance and resistance of artificial intelligence (AI) among medical doctors. The research, backed by the National Science And Technology Council, aimed to evaluate the capacity of various paradigms to explain
Artificial intelligence
In a recent study published in the International Journal of Educational Technology in Higher Education, researchers from Wageningen University and Research explored the potential of artificial intelligence (AI) and learning analytics in enhancing peer learning in higher education. The study focused on the limitations of traditional peer learning methods, such
Artificial intelligence
Researchers at Shanghai Jiao Tong University School of Medicine have developed an automated 2-stage artificial intelligence (AI) framework for diagnosing nasal septum deviation (NSD) in cone-beam computed tomography (CBCT) images. The study aimed to improve the accuracy and efficiency of NSD diagnosis, which is a contributing factor to impaired nasal
Artificial intelligence
Artificial intelligence is revolutionizing the field of clinical research and scientific writing, offering innovative solutions to address inefficiencies in trial design, patient recruitment, and manuscript development. Research from Yale University School of Medicine has explored the applications of artificial intelligence in patient matching, endpoint design and predictive trial outcomes, and
Artificial intelligence
Researchers from Koc University in Istanbul, Turkiye, have designed an artificial intelligence (AI) tool that can more accurately and objectively identify different stages of pressure injuries (PIs). The study used a combination of machine learning and computer vision to classify PI images by stage, with promising results. Key Takeaways: * The
Artificial intelligence
Researchers from Brawijaya University in Indonesia have developed an artificial intelligence-driven survival prediction model using the Random Forest algorithm to support clinical decision-making in diabetic emergency cases. The model was tested on a dataset of 1,047 diabetic emergency patients treated at a regional hospital in Indonesia between 2019 and
Artificial intelligence
Researchers from Waseda University in Tokyo, Japan, have conducted a study to investigate the effectiveness of artificial intelligence (AI)-integrated roleplay tasks in assessing interactional competence (IC) in second-language (L2) English. The study involved 75 university students who completed roleplay tasks with both human tutors and an AI agent. The
Artificial intelligence
Safe Pro Group Inc. has announced a strategic investment of $14 million led by Ondas Holdings Inc., a leading provider of autonomous drone solutions. The investment will accelerate the development and integration of AI-powered computer vision and threat detection systems for deployment in U.S. and international defense and humanitarian
Artificial intelligence
Researchers from the Haldia Institute of Technology have achieved significant breakthroughs in classifying mushroom images into multiple categories using deep learning-based models. The team, led by Bidesh Chakraborty, developed a novel approach that incorporates the convolutional block attention module (CBAM) with a transfer learning-based Xception architecture, resulting in superior performance
Artificial intelligence
Researchers at St. Paul's Hospital have published a groundbreaking study evaluating the relationship between artificial intelligence (AI)-quantified coronary plaque characteristics and high-sensitivity cardiac troponin T (hs-cTnT) levels in predicting adverse cardiovascular outcomes. The study, which included 527 patients who presented acutely to the emergency department and underwent
Artificial intelligence
Researchers from the University Sains Malaysia have made a groundbreaking discovery by integrating machine learning with hydrology, paving the way for enhanced research accuracy and efficiency in water resource prediction and natural disaster mitigation. The study, funded by the Asean Ivo Project, reveals that the application of machine learning, particularly
Artificial intelligence
Research results published by Mapua University have highlighted the critical challenge of streamflow prediction in ungauged watersheds, particularly in remote, data-scarce, and developing regions. The study findings emphasize the potential of artificial intelligence (AI) in improving streamflow modeling, focusing on machine learning (ML), deep learning (DL), and hybrid modeling frameworks.
