Latest AI and machine learning research in surveys for healthcare professionals.
Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis ...
In recent times, the field of artificial intelligence (AI) has been transformed by the introduction ...
As population density increases, environmental hygiene and public health become increasingly severe....
Despite the surge in artificial intelligence (AI) development for health care applications, particul...
Within the framework of Industry 5.0, human factors are essential for enhancing the work conditions ...
, an aggressive plant pathogen, causes symptoms on a variety of crops and ornamental plants includin...
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the e...
This study aimed to enhance performance, identify additional predictors, and improve the interpretab...
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imag...
BACKGROUND: ChatGPT, an artificial intelligence (AI) based on large-scale language models, has spark...
Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a fr...
With advances in modern medicine, there is a constant need for accurate and up-to-date readily avail...
Cine cardiac MRI sequences require repeated breath-holds, which can be difficult for patients with ...
OBJECTIVES: To assess the performance bias caused by sampling data into training and test sets in a ...
There is a growing trend of artificial intelligence (AI) applications in veterinary medicine, with t...
Satellite survey is widely used for archaeological site discovery, but the efficacy of the method ha...
PURPOSE: To (1) review definitions and concepts necessary to interpret applications of deep learning...
Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as ...
Decades of research have shown machine learning superiority in discovering highly nonlinear patterns...
PURPOSE: Convolution operator-based neural networks have shown great success in medical image segmen...
As artificial intelligence (AI) assisted diagnosing systems become accessible and user-friendly, eva...