Latest AI and machine learning research in cultural competence for healthcare professionals.
The introduction of artificial intelligence (AI) into radiology promises to enhance efficiency and i...
Regular blood pressure (BP) monitoring in clinical and ambulatory settings plays a crucial role in t...
OBJECTIVE: The integration of artificial intelligence (AI) and machine learning (ML) in health care ...
BACKGROUND: Artificial intelligence chatbots such as ChatGPT (OpenAI) have garnered excitement about...
Due to the increasing interest in the use of artificial intelligence (AI) algorithms in hepatocellul...
BACKGROUND AND PURPOSE: Studies investigating the application of Artificial Intelligence (AI) in the...
Who should decide how limited resources are prioritized? We ask this question in a healthcare contex...
The entrustment framework redirects assessment from considering only trainees' competence to decisio...
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model c...
Alzheimer's disease is one of the most important health-care challenges in the world. For decades, n...
Components of artificial intelligence (AI) for analysing social big data, such as natural language p...
Bias in health care has been well documented and results in disparate and worsened outcomes for at-r...
Data privacy and security is an essential challenge in medical clinical settings, where individual h...
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer....
PURPOSE OF REVIEW: Bias in artificial intelligence (AI) models can result in unintended consequences...
Residual connections have been proposed as an architecture-based inductive bias to mitigate the prob...
Virtual screening (VS) has been incorporated into the paradigm of modern drug discovery. This field ...
Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis ...
As population density increases, environmental hygiene and public health become increasingly severe....
Convolutional Neural Networks have been widely applied in medical image segmentation. However, the e...
There has been a growing recognition of the need for diversity and inclusion in scientific fields. T...