Artificial intelligence (AI) algorithms have been applied in abundant medical tasks with high
accuracy and efficiency. Physicians can improve their diagnostic efficiency with the …

Abstract Machine learning algorithms can help to improve the accuracy and efficiency of
cancer diagnosis, selection of personalized therapies and prediction of long-term outcomes …

In the past few years, Artificial Intelligence (AI) techniques have been applied to almost
every facet of oncology, from basic research to drug development and clinical care. In the …

Several factors, including advances in computational algorithms, the availability of high-
performance computing hardware, and the assembly of large community-based databases …

Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Artificial intelligence (AI) has long been discussed as a transformative tool in health care,
promising to revolutionize all aspects of patient care and even our broader health care …

There has been an explosion of research activities and clinical investigations on the use of
artificial intelligence (AI) in oncology during the past decade. This is driven primarily by …

Artificial intelligence (AI)-aided decision support has developed rapidly to meet the needs for
effective analysis of substantial data sets from electronic medical records and medical …

Artificial intelligence, also known as AI, is the ability of machines to perceive and process
information to replicate human intelligence (Bini, 2018). Many of us are unaware of how …

Artificial intelligence (AI) refers to the simulation of human intelligence in machines
programmed to convert raw input data into decision-making actions, like humans. AI …