Latest AI and machine learning research in surveys for healthcare professionals.
With the advancement of information technology and artificial intelligence, translation technologies...
The entrustment framework redirects assessment from considering only trainees' competence to decisio...
With the increasing prevalence of machine learning in critical fields like healthcare, ensuring the ...
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model c...
Whilst surgeons and robotic companies are key stakeholders involved in the adoption of robotic assis...
Alzheimer's disease is one of the most important health-care challenges in the world. For decades, n...
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental disorders w...
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...
BACKGROUND: Health-related patient-reported outcomes (HR-PROs) are crucial for assessing the quality...
The utilization of machine learning has a potential to improve the environment of the development of...
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer....
Neuroimaging data repositories are data-rich resources comprising brain imaging with clinical and bi...
Electroencephalogram (EEG) has been widely utilized as a valuable assessment tool for diagnosing epi...
This article presents a study, intending to design a model with 90% reliability, which helps in the ...
Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder ...
All industries are trying to leverage Artificial Intelligence (AI) based on their existing big data ...
PURPOSE OF REVIEW: Bias in artificial intelligence (AI) models can result in unintended consequences...
Computed tomography (CT) is an important imaging modality for guiding prognostication in patients wi...
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 ...