Pulmonologists-level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach.

Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated considerable potential in healthcare by facilitating the detection of various diseases.

Impact of genetic testing in developmental and epileptic encephalopathy- parents' perspective.

Background: Developmental and epileptic encephalopathies (DEEs) are a group of severe and heterogeneous epilepsies. Most of the affected patients have treatment refractory seizures, intellectual disability (ID), and multiple comorbidities. The condition has a negative impact on quality of life, both for the patients and their families.

Low Surgery Rates in Early Crohn's Disease: Results from a Prospective Population-Based Inception Cohort-The Inflammatory Bowel Disease in South-Eastern Norway III Study.

Background And Aims: The emergence of biologic therapy has coincided with a decline in surgery rates for Crohn's disease (CD). This study aims to describe the disease course, including intra-abdominal surgery rates, biologic therapy use, and variables associated with biologic therapy initiation in a cohort of newly diagnosed CD patients.

Methods: The Inflammatory Bowel Disease in South-Eastern Norway (IBSEN) III study is a population-based inception cohort study.

Effect of heated mittens on physical hand function in people with hand osteoarthritis: randomised controlled trial.

Objective: To assess the effect of electrically heated mittens on physical hand function in people with osteoarthritis of the hands compared with control mittens.

Design: Randomised controlled trial.

Setting: Osteoarthritis outpatient clinic, Copenhagen, Denmark.

A Bayesian Network Approach to Lung Cancer Screening: Assessing the Impact of Data Quantity, Quality, and the Combination of Data from Danish Electronic Health Records.

: Lung cancer (LC) is the leading cause of cancer mortality, making early diagnosis essential. While LC screening trials are underway globally, optimal prediction models and inclusion criteria are still lacking. This study aimed to develop and evaluate Bayesian Network (BN) models for LC risk prediction using a decade of data from Denmark.