Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges.

Artificial intelligence (AI) is transforming respiratory healthcare through a wide range of deep learning and generative tools, and is increasingly integrated into both patients' lives and routine respiratory care. The implications of AI in respiratory care are vast and multifaceted, presenting both promises and uncertainties from the perspectives of clinicians, patients and society. Clinicians contemplate whether AI will streamline or complicate their daily tasks, while patients weigh the potential benefits of personalised self-management support against risks such as data privacy concerns and misinformation.

Qualitative study of user perspectives and experiences of digital inhaler technology.

Electronic monitoring devices (EMDs) have been trialled in interventions to improve inhaled corticosteroid adherence and clinical outcomes. This study sought to understand the perceptions and experiences of EMD end-users. Participants recruited into a six-month EMD study were invited to a semi-structured interview.

Con: Access to advanced therapies for severe asthma should be restricted to patients with satisfactory adherence to maintenance treatment.

Current guidance states that advanced therapies should only be used when adherence to maintenance therapy (inhaled corticosteroid/long-acting β-agonist) has been proven. This is based on the costs of advanced therapies, the fact that they were generally trialled as add-ons to maintenance therapy, and the assumed efficacy of maintenance therapy in the majority of adherent patients. In this pro/con debate, we argue that such a rigid view of access downplays the complex and multifactorial nature of poor adherence.