Background This study aimed to develop a machine learning (ML) model to identify patients
who are likely to have pulmonary hypertension (PH), using a large patient-level US-based …

The expectations of professionals working on the development of healthcare Artificial
Intelligence (AI) technologies and the patients who will be affected by them have received …

A vast quantity of real-world data (RWD) are available to healthcare researchers. Such data
come from diverse sources such as electronic health records, insurance claims and billing …

Erratum: 2022 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension:
Developed by the task force for the diagnosis and treatment of pulmonary hypertension of the …

Rare and complex diseases pose significant challenges to both patients and healthcare
providers. These conditions often present with atypical symptoms, making diagnosis and …

Background Early diagnosis of pulmonary hypertension (PH) is critical for effective treatment
and management. We aimed to develop and externally validate an artificial intelligence …

Nontuberculous mycobacterial lung disease (NTMLD) is a rare lung disease often missed
due to a low index of suspicion and unspecific clinical presentation. This retrospective study …

Artificial intelligence (AI) as a technology concept is making a major impact on a wide range
of industries and sectors. This is largely attributed to technical advancements in machine …

Many patients with pulmonary arterial hypertension (PAH) experience substantial delays in
diagnosis, which is associated with worse outcomes and higher costs. Tools for diagnosing …

Pulmonary arterial hypertension (PAH) is a rare and chronic lung disease characterized by
progressive occlusion of the small pulmonary arteries, which is associated with structural …