Latest AI and machine learning research in health policy for healthcare professionals.
To enhance the efficiency of vaccine manufacturing, this study focuses on optimizing the microfluidi...
BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-b...
Maren Runchang pill (MRRCP) is a Chinese patent medicine used to treat constipation in clinics. It h...
OBJECTIVE: To perform image quality comparison between deep learning-based multiband diffusion-weigh...
In this study, neural networks and support vector regression (SVR) were employed to predict the degr...
BACKGROUND: The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing ho...
BACKGROUND: With the rapidly advancing technological landscape of health care, evaluating the potent...
Surgical site complications (SSCs) are common, yet preventable hospital-acquired conditions. Single...
The integration of artificial intelligence (AI) into health care offers the potential to enhance pat...
Reliable classification of sleep stages is crucial in sleep medicine and neuroscience research for p...
This research was established to accurately forecast daily scale air quality index (AQI) which is an...
This study explores the intricate connections among financial technology (FinTech), artificial intel...
Thoracic radiographs are an essential diagnostic tool in companion animal medicine and are frequentl...
Robotization has caused widespread concern about job losses, but few scholars have paid attention to...
There is increasing interest in moving away from "one size fits all (OSFA)" approaches toward strati...
PURPOSE: The purpose of our study is to investigate image quality, efficiency, and diagnostic perfor...
As the health care industry increasingly embraces large language models (LLMs), understanding the co...
These results highlight the transformative potential of neural network algorithms in providing consi...
OBJECTIVE: To prospectively evaluate a deep learning-based denoising reconstruction (DLR) for improv...
Integration of multiple data sources presents a challenge for accurate prediction of molecular patho...
Biomedical image segmentation is essential in clinical practices, offering critical insights for acc...