Latest AI and machine learning research in surveys for healthcare professionals.
This article presents a study, intending to design a model with 90% reliability, which helps in the prediction of school dropouts in higher and secondary education institutions, implementing machine learning techniques. The collection of information was carried out with open data from the 2015 Intercensal Survey and the 2010 and 2020 Population and Housing censuses carried out by the National Inst...
Virtual screening (VS) has been incorporated into the paradigm of modern drug discovery. This field is now undergoing a new wave of revolution driven by artificial intelligence and more specifically, machine learning (ML). In terms of those out-of-the-box datasets for model training or benchmarking, their data volume and applicability domain are limited. They are suffering from the biases constant...
In recent times, the field of artificial intelligence (AI) has been transformed by the introduction of large language models (LLMs). These models, pop...
: Our research group developed a robot-assisted diabetes self-management monitoring system to support Certified Diabetes Care and Education Specialist...
As population density increases, environmental hygiene and public health become increasingly severe. As the space where residents stay for the longest...
Despite the surge in artificial intelligence (AI) development for health care applications, particularly for medical imaging applications, there has b...
Within the framework of Industry 5.0, human factors are essential for enhancing the work conditions and well-being of operators interacting with even ...
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the existence of local inductive bias in convolutional ...
This study aimed to enhance performance, identify additional predictors, and improve the interpretability of biopsychosocial machine learning models f...
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the bod...
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a frequent drawback of AI models is their propension t...
With advances in modern medicine, there is a constant need for accurate and up-to-date readily available information online to ensure patients are wel...
There is a growing trend of artificial intelligence (AI) applications in veterinary medicine, with the potential to assist veterinarians in clinical d...
Satellite survey is widely used for archaeological site discovery, but the efficacy of the method has received little systematic investigation. In thi...
Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as social media platforms, smart devices, and global ...
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns embedded in electroencephalography (EEG) records ...
As artificial intelligence (AI) assisted diagnosing systems become accessible and user-friendly, evaluating how first-year medical students perceive s...
This paper introduces an approach to the automated measurement and analysis of dairy cows using 3D point cloud technology. The integration of advanced...
Long COVID shares a number of clinical features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), including post-exertional malaise, s...
As an education model that focuses on the cultivation of students' creativity and practical ability, the integration of maker education and the develo...