Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
Neural machine translation is a prominent field in the computational linguistics domain. By leveragi...
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but ar...
In recent years, deep learning achieves remarkable results in the field of artificial intelligence. ...
There is growing interest in the potential of artificial intelligence to support decision-making in ...
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, locati...
Bipolar disorder (BPD) is often confused with major depression, and current diagnostic questionnaire...
: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...
BACKGROUND: For robots to be effectively used in health applications, they need to display appropria...
BACKGROUND: In recent months, multiple publications have demonstrated the use of convolutional neura...
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...
Diets rich in omega-3 fatty acids (n-3 FA) have been associated with several health benefits. With t...
Decision-making assisted by algorithms developed by machine learning is increasingly determining our...
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...
BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH)...
With the advances of machine learning algorithms and the pervasiveness of network terminals, the onl...
Abnormal connectivity patterns have frequently been reported as involved in pathological mental stat...
The study objective was to apply machine learning methodologies to identify predictors of remission ...
In this paper, we present a new idea to analyze facial expression by exploring some common and speci...
Background: The first thousand days are a sensitive window for child health and social health inequa...
Vision-language models (VLMs) can infer sensitive information such as geolocation from subtle visual...
Reinforcement learning for instruction-guided image editing requires reward models that provide reli...