Latest AI and machine learning research in cultural competence for healthcare professionals.
The rapid development of text-to-image generation has brought rising ethical considerations, espec...
We demonstrate the efficiencies and explanatory abilities of extensions to the common tools of Aut...
Defining and measuring decision-making styles, also known as playstyles, is crucial in gaming, whe...
Text-to-image (TTI) systems, particularly those utilizing open-source frameworks, have become incr...
Networks are crucial components of many sectors, including telecommunications, healthcare, finance...
Multimodal AI models capable of associating images and text hold promise for numerous domains, ran...
Large language models (LLMs) are now being considered and even deployed for applications that supp...
Facial Recognition Systems (FRSs) are being developed and deployed globally at unprecedented rates...
Diversity is a concept of prime importance in almost all disciplines based on information processi...
Machine learning (ML) datasets, often perceived as neutral, inherently encapsulate abstract and di...
Deep learning has achieved impressive performance across various medical imaging tasks. However, i...
Black box deep learning models trained on genomic sequences excel at predicting the outcomes of di...
Vision-language models (VLMs) pre-trained on extensive datasets can inadvertently learn biases by ...
An estimated 0.2% of the world population is living with severe deafblindness with approximately ~1....
Data are essential in developing healthcare artificial intelligence (AI) systems. However, patient...
Symbolic mathematical computing systems have served as a canary in the coal mine of software syste...
In the evolving landscape of computer vision (CV) technologies, the automatic detection and interp...
We consider the dynamics imposed by natural selection on the populations of two competing, sexuall...
The convergence of digital pathology and artificial intelligence could assist histopathology image a...
Machine learning models hold great promise with medical applications, but also give rise to a series...
Artificial intelligence (AI) algorithms are prone to bias at multiple stages of model development, w...