Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …

Artificial intelligence (AI) is a powerful and disruptive area of computer science, with the
potential to fundamentally transform the practice of medicine and the delivery of healthcare …

With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Background The growing application of artificial intelligence (AI) in healthcare has brought
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …

This paper presents an in-depth study of ChatGPT, a state-of-the-art language model that is
revolutionizing generative text. We provide a comprehensive analysis of its architecture …

Several sources of bias can affect the performance of machine learning systems used in
medicine and potentially impact clinical care. Here, we discuss solutions to mitigate bias …

Artificial intelligence and machine learning (AI/ML) algorithms are increasingly developed in
health care for diagnosis and treatment of a variety of medical conditions (1). However …

Objectives ChatGPT, a tool based on natural language processing (NLP), is on everyone's
mind, and several potential applications in healthcare have been already proposed …

Artificial intelligence (AI) is concretely reshaping the landscape and horizons of oncology,
opening new important opportunities for improving the management of cancer patients …

Objective There has been a large amount of research in the field of artificial intelligence (AI)
as applied to clinical radiology. However, these studies vary in design and quality and …