Implementation of artificial intelligence in thoracic imaging-a what, how, and why guide from the European Society of Thoracic Imaging (ESTI)

This statement from the European Society of Thoracic imaging (ESTI) explains and summarises the essentials for understanding and implementing Artificial intelligence (AI) in clinical practice in thoracic radiology departments. This document discusses the current AI scientific evidence in thoracic imaging, its potential clinical utility, implementation and costs, training requirements and validation, its' effect on the training of new radiologists, post-implementation issues, and medico-legal and ethical issues. All these issues have to be addressed and overcome, for AI to become implemented clinically in thoracic radiology.

Automated summary

This document from the European Society of Thoracic imaging (ESTI) provides a comprehensive overview of the importance of understanding and implementing Artificial intelligence (AI) in clinical practice in thoracic radiology departments. It discusses the current scientific evidence, potential clinical utility, implementation and costs, training requirements and validation, impact on radiologists' training, post-implementation issues, and medico-legal and ethical considerations. Addressing and overcoming these issues is crucial for the clinical implementation of AI in thoracic radiology.