Machine learning
Researchers from Sahand University of Technology, led by Mohammed Fadhil Mahdi, have proposed a novel combination of explainable machine learning and fuzzy evaluation frameworks to improve the diagnostic performance and interpretation of rheumatic and autoimmune diseases. This innovative approach addresses the challenges of overlapping symptoms, complex clinical presentations, and the
Machine learning
Researchers from China Medical University have made significant breakthroughs in the early detection and prevention of neonatal jaundice, a condition affecting millions of newborns globally. By leveraging machine learning algorithms and smartphone technology, the team created a non-invasive and accessible tool for quantifying jaundice severity. This innovative approach has the
Machine learning
Researchers at the University of Information Technology and Communications have made significant breakthroughs in developing machine learning models for real-time robotic hand control systems based on motor imagery brain signals. According to a recent study published in Computers in Biology and Medicine, the team developed and tested a set of
Machine learning
Researchers from the University of Basilicata have made a groundbreaking discovery in understanding the relationship between environmental factors and cardiorespiratory diseases. By applying machine learning techniques to a dataset of environmental and health data from 2013 to 2023, the team was able to identify specific environmental variables that contribute to
Machine learning
Researchers in Algeria have made significant strides in using machine learning and deep learning algorithms to improve the diagnosis and prognosis of glioblastoma, a highly malignant primary brain cancer. Traditional diagnosis and prognosis are often subjective and time-consuming, whereas advances in machine learning and deep learning have accelerated research by
Machine learning
Researchers at the University of Catania, Italy have found that the integration of Artificial Intelligence (AI) into healthcare has transformed various aspects of clinical practice, including the management of medical malpractice disputes. AI-driven technologies, particularly machine learning and natural language processing, enable the automated analysis of electronic health records and
Machine learning
Despite the growing adoption of green buildings, robust and data-driven approaches for assessing and predicting project risks remain limited. Research from the East China University of Science and Technology proposed an innovative hybrid framework combining the fuzzy analytic hierarchy process (FAHP), multilayer perceptron neural networks (MLPNNs), and particle swarm optimization
Machine learning
Midwifery practices are driven largely by tacit knowledge gained through personal experience, which is crucial for maternal and newborn care. However, this knowledge is often underrecognized in clinical policies and lacks formalization. Researchers at Shimonoseki City University in Japan explored the role of artificial intelligence (AI) in capturing tacit midwifery
Machine learning
Research from the Department of Medicine has shown the potential of artificial intelligence (AI) in improving dermatological diagnoses in Brazil's primary care setting. A team of researchers developed an interpretable machine-learning algorithm capable of assisting in diagnosing erythematous-squamous dermatological diseases using clinical data without histopathological support. The algorithm
Machine learning
Viettel, a prominent technology company in Vietnam, and Dassault Systemes, a global leader in the 3D experience platform, have agreed to strengthen their strategic cooperation in artificial intelligence (AI), machine learning, digital design, and simulation. The partnership aims to accelerate digital transformation, foster innovation, and enhance Vietnam's position
Machine learning
A recent study from Wuhan, People's Republic of China, has developed and validated a novel prognostic model for breast cancer based on hypoxia-related genes and lactate metabolism-related genes. The aim of the study was to identify molecular subtypes capable of predicting patient prognosis and treatment response, thereby facilitating
Machine learning
A new study from Zhejiang Technical Institute of Economics in Zhejiang, People's Republic of China, has shed light on the importance of integrating artificial intelligence (AI) literacy in higher vocational education. The research asserts that the rapid adoption of AI across industries necessitates systematic AI literacy development in
