The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …

Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …

The development of high-throughput, data-intensive biomedical research assays and
technologies has created a need for researchers to develop strategies for analyzing …

Clinical applications of machine learning algorithms: beyond the black box | The BMJ Skip to
main content Intended for healthcare professionals Access provided by Google Indexer …

New technologies, data, and algorithms impact nearly every aspect of daily life.
Unfortunately, many of these algorithms operate like black boxes and cannot explain their …

Artificial intelligence increasingly attracts attention and investments. However, appropriating
value from this general-purpose technology (GPT) can be difficult. To understand these …

Significant advances in artificial intelligence (AI), deep learning, and other machine-learning
approaches have been made in recent years, with applications found in almost every …

Machine learning is a branch of computer science and statistics that generates predictive or
descriptive models by learning from training data rather than by being rigidly programmed. It …

Artificial intelligence (AI) has the potential to revolutionise the way states and international
organisations seek to manage international migration. AI is gradually going to be used to …

The Hippocratic oath and the Belmont report articulate foundational principles for how
physicians interact with patients and research subjects. The increasing use of big data and …