Artificial intelligence (AI) has experienced explosive growth in oncology and related
specialties in recent years. The improved expertise in data capture, the increased capacity …

The metaverse has emerged as an exciting new paradigm for human-computer interaction
(HCI) and virtual collaboration. This paper presents a comprehensive review of the …

The study provides a comprehensive review of OpenAI's Generative Pre-trained Transformer
4 (GPT-4) technical report, with an emphasis on applications in high-risk settings like …

Systematic reviews are a cornerstone for synthesizing the available evidence on a given
topic. They simultaneously allow for gaps in the literature to be identified and provide …

Inherent bias in the artificial intelligence (AI)-model brings inaccuracies and variabilities
during clinical deployment of the model. It is challenging to recognize the source of bias in AI …

Background Artificial intelligence (AI) has the potential to personalize treatment strategies for
patients with cancer. However, current methodological weaknesses could limit clinical …

Sepsis remains a major challenge internationally for healthcare systems. Its incidence is
rising due to poor public awareness and delays in its recognition and subsequent …

Substantial interest and investment in clinical artificial intelligence (AI) research has not
resulted in widespread translation to deployed AI solutions. Current attention has focused on …

Interest in the application of artificial intelligence (AI) to human health continues to grow, but
widespread translation of academic research into deployable AI devices has proven more …

Background Although there is considerable interest in machine learning (ML) and artificial
intelligence (AI) in critical care, the implementation of effective algorithms into practice has …