Latest AI and machine learning research in surveys for healthcare professionals.
Precision medicine (MP), using machine learning (ML) techniques of artificial intelligence (AI), ana...
Diagnostic processes typically rely on traditional and laborious methods, that are prone to human er...
Speed is essential in wildlife surveys due to the dynamic movement of animals throughout their envir...
The models used to estimate disease transmission, susceptibility and severity determine what epidemi...
Effective pain management can significantly improve quality of life and outcomes for various types o...
Artificial intelligence (AI) algorithms including machine and deep learning relies on proper data fo...
The exact neurobiological underpinnings of gender identity (i.e., the subjective perception of onese...
This article reviews methods to investigate joint attention and highlights the benefits of new metho...
Clinical neuroscience is increasingly relying on the collection of large volumes of differently stru...
Research that makes secondary use of administrative and clinical healthcare databases is increasingl...
The evaluation of the validity of a knowledge-based system is of great importance during its develop...
We investigated problems concerning medical imaging management using PACS in medical settings throug...
"Just-in-time" interventions (JITs) delivered via smartphones have considerable potential for reduci...
Surgical site infections are an important health concern, particularly in low-resource areas, where ...
We aimed to quantify the agreement between self-report, standard cut-point accelerometer, and machi...
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...
The field of social robotics offers an unprecedented opportunity to probe the process of impression ...
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technol...
Commercially available artificial intelligence (AI) algorithms outside of health care have been show...
After working at Apple designing circuits and signal processing algorithms for products including th...
Motivated by the great potential of deep learning in medical imaging, we propose an iterative positr...