As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …

The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI)
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …

The recent focus on Large Language Models (LLMs) has yielded unprecedented discussion
of their potential use in various domains, including healthcare. While showing considerable …

Recent progress in large language models has enabled the deployment of many generative
NLP applications. At the same time, it has also led to a misleading public discourse that “it's …

Objectives To navigate the field of digital cancer care and define and discuss key aspects
and applications of big data analytics, artificial intelligence (AI), and data-driven …

As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …

Innovations in digital health and machine learning are changing the path of clinical health
and care. People from different geographical locations and cultural backgrounds can benefit …

The internet has had a dramatic effect on the healthcare industry, allowing documents to be
saved, shared, and managed digitally. This has made it easier to locate and share important …

Recent advancements in Large Language Models (LLMs) have drawn increasing attention
since the learned embeddings pretrained on large-scale datasets have shown powerful …

Background: Artificial intelligence (AI), which combines computer science with extensive
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …