European Archives - Page 722 of 1506 - European Medical Journal

Giant Health Event 2023

The Global Innovation and New Technology (GIANT) Health Event of 2023, held on 4th–5th December in London, UK, was a convergence of…

EMJ Innovations 8.1 2024

In our latest issue of EMJ Innovations, explore a selection of peer-reviewed articles, exclusive interviews with leading experts, and a…

Innovation in Healthcare: Highlights from 2023

NATURAL language processing models could be used to provide concise summaries of radiology reports so that they are more accessible for…

Impact of the National Suicide Hotline Number on Care of Patients

The majority of subjects approached agreed to participate, with a small number of patients reporting time constraints as the reason for…

Revolutionising Women's Health

Dame Lesley Regan, Women’s Health Ambassador for England, delivered a presentation highlighting the need for a women’s health strategy…

Striving for Net Zero in Healthcare

CLIMATE and emissions were key themes explored in the Net Zero Technology Show, which took place as part of the Global Innovation and New…

Respiratory Distress in COVID-19-Exposed Infants

A recent study has found that there was a significant association between respiratory distress and whether infants had been born to unvaccinated mothers, although none of the babies born had COVID-19 themselves.

Association Between Respiratory Illness and Cardiovascular Disease

According to recent research, adults with chronic obstructive pulmonary disease may be more likely to develop cardiovascular diseases, including coronary heart disease, heart failure, heart attack, and diabetes.

Brain Age Prediction Models in Amnestic Mild Cognitive Impairment

Recent neuroimaging techniques have revealed that ageing-related trajectories of the structures and functions of the brain in patients with amnestic mild cognitive impairment are distinct from those in healthily-ageing individuals.

Artificial Intelligence Model Accurately Predicts Lymph Node Metastasis

A predictive model, integrating CT and MRI images, as well as deep-learning techniques, has demonstrated success in diagnosing lymph node metastasis.