Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive …

Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …

In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI
solutions have been developed to tackle a variety of cancer‐related challenges. Medical …

Artificial intelligence (AI) is growing exponentially in various fields, including medicine. This
paper reviews the pertinent aspects of AI in obstetrics and gynecology (OB/GYN) and how …

Purpose: Artificial intelligence (AI) has accelerated novel discoveries across multiple
disciplines including medicine. Clinical medicine suffers from a lack of AI-based …

Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …

Abstract Background Healthcare-associated infections (HAIs) are the most frequent adverse
events in healthcare and a global public health concern. Surveillance is the foundation for …

Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …

PURPOSE Deep learning (DL) models have rapidly become a popular and cost-effective
tool for image classification within oncology. A major limitation of DL models is their …

Many aspects of our life are affected by technology. One of the most discussed
advancements of modern technologies is artificial intelligence. It involves computational …