AI Implementation in Thoracic Radiology: It Is Getting Closer.

Radiology

From the University of Edinburgh Centre for Cardiovascular Science-Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.

Published: February 2025

Download full-text PDF

Source
http://dx.doi.org/10.1148/radiol.242592DOI Listing

Publication Analysis

Top Keywords

implementation thoracic
4
thoracic radiology
4
radiology closer
4
implementation
1
radiology
1
closer
1

Similar Publications

With the increasing number of people suffering from heart valve diseases (e.g., stenosis and/or insufficiency), the attention paid to prosthetic heart valves has grown significantly.

View Article and Find Full Text PDF

A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.

Cancers (Basel)

March 2025

Respiratory Failure Clinic and Sleep Laboratory, General Hospital of Thessaloniki "G. Papanikolaou", Aristotle's University of Thessaloniki, Leoforos Papanikolaou Municipality of Chortiatis, 57010 Thessaloniki, Greece.

According to data from the World Health Organization (WHO), lung cancer is becoming a global epidemic. It is particularly high in the list of the leading causes of death not only in developed countries, but also worldwide; furthermore, it holds the leading place in terms of cancer-related mortality. Nevertheless, many breakthroughs have been made the last two decades regarding its management, with one of the most prominent being the implementation of artificial intelligence (AI) in various aspects of disease management.

View Article and Find Full Text PDF

Objectives: Mentorship is critical to the professional development of junior colleagues in cardiothoracic surgery. Despite its presumed importance and frequent discussion, its impact within cardiothoracic surgery training remains uncharacterised within the UK. We aimed to evaluate mentorship experience and identify gaps in the system of mentorship education.

View Article and Find Full Text PDF

The advent of automated insulin delivery (AID) systems in 2020 marked a disruptive event in managing type 1 diabetes, benefiting children and adults alike. By 2024, advances in real-world data and research motivated an update to the French consensus on AID systems to expand accessibility, refine guidelines, and optimize patient follow-up. AID systems have consistently improved glycemic control by reducing HbA1c, increasing time-in-range (TIR), and minimizing hypoglycemia, with significant benefits even for specific populations such as individuals with poor glycemic control, brittle diabetes, children, very young children, pregnant women, those with insulin resistance or gastroparesis, or after bariatric surgery.

View Article and Find Full Text PDF

New anticancer therapies with potential cardiovascular side effects are continuously being introduced into clinical practice, with new and often unexpected toxicities becoming apparent only after clinical introduction. These unknown toxicities should be identified and understood beforehand to better prepare patients and physicians, enabling the implementation of effective treatments. Therefore, there is a crucial need for appropriate preclinical models to understand the biological basis of their cardiotoxicity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!