Latest AI and machine learning research in cultural competence for healthcare professionals.
Robots' proliferation throughout society offers many opportunities and conveniences. However, our ab...
OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (E...
Advances in machine learning for health care have brought concerns about bias from the research comm...
This perspective highlights the importance of addressing social determinants of health (SDOH) in pat...
Artificial intelligence (AI) large language models (LLMs) hold great potential to transform psychiat...
Diagnostic codes in the Electronic Health Record (EHR) are known to be limited in reporting patient ...
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising aware...
Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no c...
Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) ca...
One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This...
As the health care landscape evolves toward value-based care and emphasizes health-related social ne...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
The main motivation of this paper is to introduce the ordinal diversity, a symbolic tool able to qua...
Sampling a diverse set of high-quality solutions for hard optimization problems is of great practica...
The American Journal of Occupational Therapy (AJOT) has maintained its top-ranking status in the fie...
Professors Elham Emami and Samira Rahimi organized and co-led an international interdisciplinary wor...
Urban climate model evaluation often remains limited by a lack of trusted urban weather observations...
BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bi...
Artificial intelligence (AI) systems utilizing deep neural networks and machine learning (ML) algori...
Supervised machine learning (ML) is revolutionising healthcare, but the acquisition of reliable labe...
The growing accessibility of large health datasets and AI's ability to analyze them offers significa...