Recent advances in AI combine large language models (LLMs) with vision encoders that bring forward unprecedented technical capabilities to leverage for a wide range of …
This paper endeavors to appraise scholarly works from the 1940s to the contemporary era, examining the scientific quest to transpose human cognition and consciousness into a …
This paper investigates the deployment of Artificial Intelligence (AI) in the Swedish Public Employment Service (PES), focusing on the concept of trustworthy AI in public decision …
The purpose of this paper is to propose a novel hybrid framework for evaluating and benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …
The development of Artificial intelligence (AI) is accelerating and promising to impact healthcare. Advancements in processing chips and Machine Learning (ML) have made …
N Farič, S Hinder, R Williams… - Journal of the …, 2024 - academic.oup.com
Objectives Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis are increasingly being developed and implemented but with limited understanding of how …
Social media and user-generated content (UGC) have become increasingly important features of journalistic work in a number of different ways. However, the growth of …
Abstract This article explores Human-Centered Artificial Intelligence (HCAI) in medical cytology, with a focus on enhancing the interaction with AI. It presents a Human–AI …
The ongoing evolution of digitization and digital transformation, especially since the emergence of Industry 4.0, has led to the generation of vast volumes of data, information …